May 16, 2024

2014-2015 Georgia Regents University Graduate Catalog

2014-2015 Georgia Regents University Graduate Catalog [ARCHIVED CATALOG]

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Statistics
	STAT 6300 - Introduction to Epidemiology and Biostatistics This course serves as an introduction to epidemiology and biostatistics. The epidemiology portion of this course is intended to introduce students to epidemiology and its application to public health research and practice. It provides a conceptual foundation for further study of epidemiology; especially study design, quantitative concepts and methods, analysis, and interpretation. The biostatistics portion of this course offers an introduction to the basic statistical techniques used to analyze and interpret data in the biomedical, health sciences and related fields. Emphasis is on applications of these methods, with probability, discrete and continuous distribution, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, and correlation topics covered. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 7010 - Biostatistics I This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on application of these methods, with the following topics covered: graphical methods, probability, discrete and continuous distribution, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, correlation and critical reading of the research literature. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Degree Restrictions: Doctor of Philosophy, Master of Public Health, Master of Science Click here for the Schedule of Classes.
	STAT 7020 - Biostatistics II This course is the second course in a two-course sequence in Biostatistics that offers an introduction to some of the more advanced statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on applications of these methods. Topics include factorial ANOVA, multiple linear regression and correlation, ANCOVA, logistic regression, longitudinal data analysis, survival analysis, clinical trials, experimental design, epidemiology, diagnostic tests, and critical reading of the research. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 7040 - Biomedical Statistics This survey course offers an introduction to the majority of statistical techniques used to analyze and interpret data in the biomedical sciences and related fields. Emphasis is on applications of these methods, with the following topics covered: graphical methods, probability, discrete and continuous distributions, inferential statistics (estimation and hypothesis testing for the one and two-sample case) for numeric and categorical data, non-parametric methods, one-way ANOVA, simple linear regression, correlation, factorial ANOVA (fixed and random effects), multiple linear regression and correlation, ANCOVA, logistic regression, longitudinal data analysis, and survival analysis and the critical reading of the research literature. Prerequisites: College Algebra (Calculus highly recommended) or prior approval of course director. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 7050 - Research Design and Statistics The primary objective of this course is to provide students with an understanding of basic concepts and methods of statistical inference in the biomedical health sciences. Upon completion of the course, students should be able to understand, interpret, and critique the results of application of statistical techniques as found in the health sciences literature. This course is comprised of eight modules with voice-overs and remote administration/testing. Prerequisites: College algebra or permission of the instructor. Grade Mode: Satisfactory, Audit Credit Hours: 1 Contact Hours: 1 Lecture Hours: 1 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies , Residents Campus Restrictions: Main campus Click here for the Schedule of Classes.
	STAT 7060 - Research Design and Statistics The primary objective of this course is to provide students with an understanding of basic concepts and methods of statistical inference in the biomedical health sciences. Upon completion of the course, students should be able to understand, interpret, and critique the results of application of statistical techniques as found in the health sciences literature. This course is comprised of eight WebCT modules with voice-overs and remote administration/testing capabilities. Prerequisites: College algebra or permission of the instructor. Grade Mode: Satisfactory/Unsatisfactory, Audit Credit Hours: 1 Contact Hours: 1 Lecture Hours: 1 Click here for the Schedule of Classes.
	STAT 7070 - Biomedical Statistics This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the biomedical, health sciences and related fields. Emphasis is on applications of these methods, with graphical methods, probability, discrete and continuous distributions, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, and correlation. Students will learn to use the NCSS microcomputer statistical software package. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 8110 - Introduction to Biostatistics Prerequisites: Calculus This course offers an introduction to the basic statistical techniques used to analyze and interpret data in the health sciences and related fields. Emphasis is on applications of these methods, with graphical statistics (estimation and hypothesis testing for the one and two-sample case) for numeric categorical data, non-parametric methods, analysis of variance, regression, and correlation. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8120 - Probability & Distributions This course covers basic probability theory, the concepts of random variables, univariate and multivariate distributions, discrete and continuous joint, marginal, and conditional distributions in general. Several specific probability distributions are covered in detail: normal, binomial, multinomial, Student’s t, F, chi-square. Expectation theorems, the law of large numbers, and the central limit theorem are also covered. Prerequisites: Calculus. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8130 - Introduction to Epidemiology This course serves as an introduction to epidemiology. Topics include basic concepts, types of studies, description and analysis of epidemiologic data, and epidemiology in disease control. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 8140 - Programming for Data Analy This course provides a hands-on exposure to programming, data management and report generation with one of the most popular statistical software packages. Grade Mode: Normal, Audit Credit Hours: 2 Contact Hours: 2 Lecture Hours: 2 Lab Hours: 0 Other Hours: 0 Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8210 - Linear Models I This course is a study of the general linear statistical model and the linear hypothesis. Topics include the multivariate normal distributions of quadratic forms, and parameter estimation and hypothesis testing for full-rank regression models. Variable selection, regression diagnostics and “dummy” variable coding will also be covered. Prerequisites: Knowledge of linear algebra. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8220 - Est & Hypothesis Testing Prerequisites: Multivariable Calculus and Probability & Distributions. STAT 8120. Introduction to the theoretical properties of point estimators and tests of hypotheses. Sufficient statistics, likelihood, best linear unbiased estimates, elements of statistical tests, the Neyman-Pearson Lemma, UMP tests, univariate normal inference, decision theory and multivariate distributions are covered. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8120 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8230 - Experimental Design This course covers the basic principles of experimental design. It covers the concepts of randomization, blocking, replication and interaction. Various designs are covered and their strengths and weaknesses are illuminated. These designs include factorials, complete and incomplete designs, Latin and Greco-Latin square designs, and split-plot designs. Confounding and fractional replication is also covered. Grade Mode: Normal, Audit Prerequisites: Prerequisites: (STAT8110 >= C) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8240 - Introduction to Clinical Trials This introductory course will address basic and advanced statistical techniques used in clinical trials. Material presented will include the principles underlying the planning, management and implementation of clinical trials, the application of basic statistical methods used in the analysis of data from clinical trials, and the interpretation of results. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8110 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8260 - Design Analysis and Observational Studies Advantages and disadvantages of prospective and retrospective study designs; design and analysis issues in both cohort and case-control studies, including proper selection of study subjects, data quality, sources and types of bias, controlling for confounding, maximizing participation and minimizing loss to follow-up in prospective studies, power and sample size; statistical methods including categorical data analysis, logistic regression, Cox regression; use of statistical packages such as SAS and StatXact for analysis. Review and discussion of current representative studies. Grade Mode: Normal, Audit Prerequisites: Prerequisites: or STAT6300 or STAT7040 or STAT7070) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8270 - Categorical Data Analysis This course focuses on statistical methods for analyzing categorical data; topics include inference for a single proportion; inference for two-way contingency tables; models for categorical response variables, including logistic and loglinear models; analysis of matched-pairs data; power and sample size considerations. Emphasis will be placed on methods and models most useful in health-related research. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8110 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8310 - Linear Models II This course is a continuation of Linear Models I, and covers the analysis of experiments using linear models. Single- and multiple-factor analysis of variance and analysis of covariance will be examined, including types of factor effects and analysis involving missing data. Topics of experimental design relevant to biomedical research will also be covered. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8210 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8311 - Demo & Analy Rates & Prop This course introduces students to the basics of demographic estimation and analysis and introduces students to those statistical methods useful in the analysis of rates and proportions. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8130 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8320 - Time to Event Data Analysis This course serves as an introduction to time-to-event (survival) data analysis. Both theory and applications are covered and methods include non-parametric, parametric, and semi-parametric (Cox model) approaches. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8110, STAT8120, STAT8220 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8321 - Statistical Models of Molecular Evolution and Phylogenetics Introduction to modeling DNA and protein evolution and to reconstructing evolutionary relationships from DNA and protein sequences. Statistical models are applied to comparisons of DNA and protein sequences to make inferences about their common ancestry and past evolutionary events. Grade Mode: Normal, Audit Prerequisites: Prerequisites: (STAT8120 >= C and STAT8220 >= C) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8330 - Special Topics in Biostat This course is designed to cover special topics in theory and methods of Biostatistics that are not covered in regular courses. The topics will depend on the research interest of the instructor and the students. Prerequisites: Permission of the Instructor. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8331 - Mendelian Genetics The analysis of frequencies of single Mendelian genes within populations including Hardy-Weinberg equilibrium, non-random mating, admixture/subdivision, linkage equilibrium, selection/mutation, likelihood estimation, latent variables and the EM algorithm, pedigree analysis and genetic identify, linkage analysis. Grade Mode: Normal, Audit Prerequisites: Prerequisites: (STAT8220 >= C) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8340 - Readings and Research This course consists of readings and research in the current biostatistical literature, advanced topics in biostatistical theory and methods, and a supervised research project which will potentially lead to publications and/or presentations. Prerequisite: Permission of instructor. Grade Mode: Satisfactory, Audit Credit Hours: 1 to 6 Contact Hours: 1 to 6 Lecture Hours: 1 to 6 Lab Hours: 0 Other Hours: 0 Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8341 - Intro to Clinical Trials This introductory course will address basic and advanced statistical techniques used in clinical trials. Material presented will include the principles underlying the planning, management and implementation of clinical trials, the application of basic statistical methods used in the analysis of data from clinical trials, and the interpretation of results. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8350 - Epidemic Modeling This course serves as an introduction to types of epidemiological studies and covers modeling of various types of epidemics. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8130 and STAT8270 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8360 - Systematic Reviews This course covers systematic reviews of the literature for controlled clinical trials and observational studies. Statistical methods and computer software is reviewed and how to use systematic reviews in practice is detailed. Topics to be covered are introduction to systematic reviews and meta analysis, systematic reviews of controlled clinical trials, investigating variability between studies, systematic reviews of observational studies, statistical methods and computer software, using systematic reviews in practice, the Cochrane collaboration, and other evidence-based medicine topics. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8240 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8370 - Intermediate Epidemiology Illustrates concepts, methods, and strategies used in epidemiology studies, beyond the principles discussed in Basic Epidemiology Courses. Topics include basic study designs, analysis of birth cohorts, measures of disease frequency and association, bias, confounding, effect modification and interaction, stratification and adjustment, quality control, and reporting of epidemiologic results. In the laboratory exercises, students work in small groups, further considering and discussing the topics and concepts covered in lectures. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8110 and STAT8130 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 8390 - Seminar in Clinical and Translational Science This course consists of clinical and translational research seminars by MCG faculty members and visiting researchers. Students will have an opportunity to talk to each speaker informally and to serve as hosts to visiting scientists. Grade Mode: Satisfactory/Unsatisfactory Credit Hours: 2 Contact Hours: 2 Lecture Hours: 2 Click here for the Schedule of Classes.
	STAT 8400 - Mentored Research in Clinical and Translational Science Prerequisite: Permission of Clinical and Translational Science Program The student works closely with his/her faculty mentors and Advisory Committee on an in-depth study of a research question of interest to both student and mentors. The course may be repeated as necessary until the student completes the research. Grade Mode: Satisfactory/Unsatisfactory, Audit Credit Hours: 1 to 12 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 8410 - Generalized Linear Models (GLMS) Prerequisites: All other biostatistics courses except Time-To-Event Data Analysis - STAT 8320. This course serves as an introduction to Generalized Linear Models (GLMs). It instructs students in a unifying theory that combines the areas of linear models, non-linear models, regression, categorical data, and analysis of variance. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8412 - Epidemic Modeling This course serves as an introduction to types of epidemiological studies and covers modeling of various types of epidemics. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8130, STAT8311 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8422 - Biological Sequence Analysis Introduction to statistical methods in the analysis of DNA and protein sequence data. This course exposes students to applications of statistical theory to assembling biological sequences, making inferences about single sequences, and comparing two or more sequences. Statistical foundations of BLAST tests are covered. Grade Mode: Normal, Audit Prerequisites: Prerequisites: (STAT8120 >= C and STAT8220 >= C and STAT8321 >= C) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8432 - Quantitative Genetics The statistical analysis of complex phenotypes. Topics include genotypic value, genetic variance, and linear models. Environmental variance, genotype by environment interaction, threshold models and generalized linear mixed models, mapping quantitative trait loci (QTL), and variance component estimation. Grade Mode: Normal, Audit Prerequisites: Prerequisites: (STAT8331 >= C) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8442 - Design Analy Clinical Trials This course will address advanced statistical techniques used in the design and analysis of both clinical and sequential trials. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8110, STAT8120, STAT8210, STAT8220, STAT8310, STAT8341 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8510 - Programming for Data Analysis This course provides a hands-on exposure to programming, data management and report generation with one of the most popular statistical software packages. Prerequisite: College algebra Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 4 Lecture Hours: 3 Lab Hours: 1 Click here for the Schedule of Classes.
	STAT 8513 - Systematic Reviews This course covers systematic reviews of the literature for controlled clinical trials and observational studies. Statistical methods and computer software is reviewed and how to use systematic reviews in practice is detailed. Topics to be covered are introduction to systematic reviews and meta analysis, systematic reviews of controlled clinical trials, investigating variability between studies, systematic reviews of observational studies, statistical methods and computer software, using systematic reviews in practice, the Cochrane collaboration, and other evidence-based medicine topics. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8341 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8520 - Statistical Theory I Fundamentals of random variables and probability theory; discrete and continuous distributions; exponential families; joint, marginal, and conditional distributions; functions of random variables; transformation and change of variables; order statistics; convergence concepts; central limit theorem; sampling distributions. Prerequisites: Multivariable Calculus and Matrix Algebra. Grade Mode: Normal, Audit Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8523 - Analysis of Microarray Gene Expression Data Introduction to modeling and analyzing expression data of microarrays. Methods of cluster analysis will be covered as ways to attempt to group genes of the same biochemical pathways together. Students will also learn to test hypotheses related to microarray designs, with emphasis on determining which genes are differentially expressed between two populations. Grade Mode: Normal, Audit Prerequisites: Prerequisites: (STAT8120 >= C and STAT8220 >= C and STAT8321 >= C) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8533 - Medical Genetics and Genetic Epidemiology Advanced statistical analyses specific for medical and health data and designs involving humans. Topics included are linkage analyses, association studies, linkage disequilibrium mapping, segregation analyses, and gene and environment interaction. Grade Mode: Normal, Audit Prerequisites: Prerequisites: (STAT8432 >= C) Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Lab Hours: 0 Other Hours: 0 College Restrictions: The Graduate School Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate-Semester Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8550 - High Throughput Data Analysis This course will cover quality assessment and normalization of arrays; Summarization of various array-based assays: CGH, ChIP and methylation; Issues for high-throughput sequencing data; Tests of significance and multiple comparisons; Multivariate analysis of pathways and GO functional groups. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8520 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8600 - Biostat Consulting in Res This course is designed for students to gain practical experience in integration of statistical theory and application in current research, systematic formulation of problems, data format, collection procedures, design, analysis, interpretation and communication of results. A project write-up will be required at the conclusion of each project. Course Prerequisites: All core biostatistics courses (except STAT8320) and one of the three elective module courses. Grade Mode: Satisfactory, Audit Credit Hours: 3 to 11 Contact Hours: 0 Lecture Hours: 0 Lab Hours: 0 Other Hours: 0 Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Doctor of Philosophy, Master of Science Click here for the Schedule of Classes.
	STAT 8610 - Applied Linear Models I This course will continue the investigation of simple linear regression from the introduction to Biostatistics course with extension to multiple linear regression models. Model selection, validation, diagnostics and remedial measures will be covered. SAS will be used for applying these methods to biomedical data. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8110, STAT8510, STAT8520 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8620 - Statistical Theory II Point and interval estimation; hypothesis and significance testing maximum likelihood and moment estimators; Bayes estimators; unbiased estimators; sufficiency and completeness; Fisher information; uniformly most powerful tests; likelihood ratio tests; asymptotic inference; introduction to Bayesian inference. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8520 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8630 - Applied Linear Models This course will cover simple linear regresssion with extension to multiple linear regression models including model selection, validation, diagnostics and remedial measures. Additionally, one-way analysis of variance (ANOVA), multiple treatment comparisons, factorial ANOVA, randomized complete-block designs, analysis of covariance (ANCOVA), ANOVA with unbalanced data, fixed-/random-/mixed-effect models, repeated-measures designs, and nested designs. SAS will be used for applying these methods to biomedical data. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8110 and STAT8510 and STAT8520 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8640 - Generalized Linear Models I Fitting of generalized linear models, diagnostics, contingency tables, categorical data analysis, measures of agreement, asymptotic theory, overdispersion, quasi-likelihood, multicategorical responses, estimating equations, generalized linear mixed models. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8620 and STAT8630 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8650 - Introduction to Stochastic Processes Finite probability models, Markov chains, martingales, random walk, Possion processes, model elements of renewal and reliability theory, Brownian motion, stochastic differential equations. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8520 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8710 - Applied Linear Models II One-way analysis of variance (ANOVA), multiple treatment comparisons, ANOVA diagnostics, factorial ANOVA, randomized complete block designs, analysis of covariance (ANCOVA), ANOVA with unbalanced data, random and mixed effect models, repeated measures designs, nested designs and response surface methods. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8610, STAT8620 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8720 - Survival Analysis This course offers an introduction to the analysis of observed times to events, e.g., times to death (survival times). The course focuses on methods of regression generalized to the case of censored survival data. Regression models studied include non-parametric (Kaplan-Meier), semi-parametric (Cox’s PH Model), and parametric regression models (Exponential, Weibull, Log-Logistic, & others). Other topics covered include model development, model adequacy, extensions to the Cox PH model, recurrent event models and frailty models. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8620 and STAT8630 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8740 - Design and Analysis of Clinical Trials This course will address advanced statistical techniques used in the design and analysis of both clinical and sequential trials. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8630 and STAT8130 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8750 - Introduction to Genetic Analysis In addition to providing a basic introduction to genetics, this course also aims to connect fundamental principles of biology and genetics, and evolution to mathematical and statistical models used in genetic research. This course is a prerequisite for more advanced courses in statistical and population genetics (e.g. genetic analysis laboratory, statistical aspects of human population genetics, genetics in epidemiology, and theoretical basis of genetic analysis). By the end of the course, students are expected to have acquired a genetics vocabulary, to be familiar with single locus and multilocus inheritance, to have a broad understanding of the different types of genetic variation and how each could contribute to phenotypic variation in heritable traits, and most importantly, to have a basic understanding of how any of these concepts could be quantified in statistical and/or mathematical models. The course format will consist of lectures, discussions, and homework assignments. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8630 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8870 - Biostatistical Consulting in Research This course is designed for student to gain practical experience in integration of statistical theory and application in current research, systematic formulation of research problems, data formatting, data collection, study design, data analysis, and interpretation and communication of results. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8130 and STAT8620 and STAT8630 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8880 - Special Topics This course is designed to cover special topics in theory and methods of Biostatistics that are not covered in regular courses. The topics will depend on the research interests of the instructor and the students. Grade Mode: Normal Credit Hours: 1 to 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 8890 - Readings and Research Prerequisites: Permission of instructor This course consists of readings and research in the current biostatistical literature, advanced topics in biostatistical theory and methods, and a supervised research project which will potentially lead to publications and/or presentations. Grade Mode: Satisfactory/Unsatisfactory, Audit Credit Hours: 1 to 12 Contact Hours: 1 to 12 Lab Hours: 1 to 12 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 8910 - Biostatistical Consulting Project Required course for Master of Science students who choose the Non-Thesis Option. Consists of one or more consulting project write-up(s), directed by a Biostatistics faculty member. A formal oral presentation is required at the conclusion of the consulting project(s). Grade Mode: Satisfactory/Unsatisfactory, Audit Credit Hours: 1 to 9 Contact Hours: 1 to 9 Lab Hours: 1 to 9 Click here for the Schedule of Classes.
	STAT 8920 - Thesis Research Prerequisite: Consent of Major Advisor. The thesis project for the MS program will be for two types: (i) use of established but state-of-the-art statistical tools to analyze and report on collected data sets; or (ii) a rigorous review of statistical literature, possibly involving a small amount of methodological research, that has potential use in complex biomedical data analysis. Grade Mode: Satisfactory/Unsatisfactory, Audit Credit Hours: 1 to 9 Click here for the Schedule of Classes.
	STAT 9000 - Thesis Research The thesis project for the MS program will be of two types: 1) Use of established but state-of -the-art statistical tools to analyze and report on collected data sets or 2) A rigorous review of statistical literature, possibly involving a small amount of methodological research, that has potential use in complex biomedical data analysis. Course Prerequisites: All core biostatistics courses (except STAT8320) and one of the three elective module courses. Grade Mode: Satisfactory Credit Hours: 3 to 11 Contact Hours: 0 Lecture Hours: 0 Lab Hours: 0 Other Hours: 0 College Restrictions: Graduate Studies Program Restrictions: MS_BIOS-Biostatistics Campus Restrictions: Main campus Level Restrictions: Graduate Semester Class Restrictions: Graduate Degree Restrictions: Master of Science Click here for the Schedule of Classes.
	STAT 9110 - Generalized Linear Models Fitting of generalized linear models, diagnostics, asymptotic theory, over-dispersion, quasi-likelihood, multi-categorical responses, estimating equations, generalized linear mixed models. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8710 and STAT8720 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9120 - Theory of Linear Models This course is a study of the general linear statistical model. Topics include the analysis of linear models in univariate data, distributions of quadratic forms, full rank linear models and fixed effect models of less that full rank. Both balanced and unbalanced random and mixed models will also be covered. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8630 and STAT8620 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9140 - Generalized Linear Models II Fitting of Bayesian generalized linear models, contingency tables, and survival models, model reduction techniques, clustered and longitudinal data with vector-valued responses, homogeneity tests, measures of similarity. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8640 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 9150 - Advanced Statistical Methods in Genetic Analysis I Statistical methods for describing variation in qualitative and quantitative (disease) traits, including decomposition of trait variation into components representing genes, environment and gene-environment interaction. Topics include transmission of genes in populations, heritability, polygenic and multi-factorial traits, complex segregations analysis, methods of mapping and characterizing simple and complex trait loci, pedigree analysis, variance components estimation, likelihood based and Bayesian interval mapping, epistasis, and use of public domain genetic analysis software. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8640 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9160 - Analysis of Clustered and Correlated Data Advanced topics in the analysis of clustered and correlated data, including correlation analysis, tests of correlation and covariance structure, repeated measures analysis, measures of agreement, and cluster-randomized trials. Instruction will be given in the proper use of software to carry out the analyses. Emphasis will be placed on methods and models most useful in clinical research. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8630 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9170 - Advanced Computational Methods This course covers modern computational issues important for implementing statistical methods that are not part of an existing statistical package. The methods covered are important for both method development and method implementation. As such, the course is designed for biostatistics students who want to focus on methods development or collaborative research, as well as for quantitative science students, such as in bioinformatics. Course Prerequisites: STAT 8610 and STAT 8210 and STAT 8620 or STAT 8220 or approval from course director. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8620 and STAT8630 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9220 - Advanced Statistical Inference Prerequisites: STAT 8620 Families of models, likelihood, sufficiency, significance tests, composite null and alternative hypotheses, similar regions, invariant test, interval estimation, point estimation, bias and variance, Cramer-Rao inequality, asymptotic theory, large-sample inference, likelihood ratio test, score test, Wald’s test. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8620 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9230 - Nonparametric and Robust Statistical Methods Prerequisites: STAT 8620 and STAT 9170 Non-parametric statistical methods, including rank-based methods for testing location and dispersion for one-, two-, and more than two-sample designs, as well as non-parametric measures of association; robust estimation methods, with emphasis on robust analogs of the mean, standard deviation, and third-moment skewness. Students will be introduced to non-parametric resampling techniques (bootstrapping and permutation methods), which will be used with robust estimation to test hypotheses. Extensive use of computer-intensive estimation and hypothesis testing procedures. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8620 and STAT9170 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9240 - Bayesian Inference This course introduces Bayesian methods for statistical inferences. We will look over concepts of Bayesian theories and Bayesian coomputational tools. Mainly we will follow up Markov chain Monte Carlo (MCMC) sampling methods including independent samplings (rejection sampling, importance sampling) and dependent samplings (Metropolis-Hastings, Gibbs sampling, slice sampling, and sequential Monte Carlo methods). These MCMC methods can be utilized in the final project. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8620 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 Click here for the Schedule of Classes.
	STAT 9250 - Advanced Statistical Methods in Genetic Analysis II Rigorous statistical and computational treatment of methods for localizing genes and environmental effects involved in the etiology of complex human traits using case-control and family data. Topics include theory of association and linkage disequilibrium mapping, candidate gene and genome-wide association mapping, detecting and accounting for population structure and admixture, analysis of dense SNPs maps, haplotype blocks, and graphical models. Course Prerequisites: STAT 9150 and STAT 9170 Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT9150 and STAT9170 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9270 - Computational Genomics and Proteomics Computational inference and visualization approaches for high-thoughput data from genomics and proteomics. Topics include an introduction to high-thoughput experimental data, experiment planning, data normalization, data representation, clustering, classification, approaches for detecting differential expression, hierarchical Bayesian models, Gayesian variable selection, other computational approaches to variable selection, statistical network models, and statistical metrics for model validation. Grade Mode: Normal, Audit Prerequisites: Prerequisites: STAT8640 and STAT9170 Credit Hours: 3 Contact Hours: 3 Lecture Hours: 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9280 - Advanced Special Topics This course is designed to cover advanced topics in the theory and methods of biostatistics, clinical trials, epidemiology, statistical and quantitative genetics, and other areas that are not covered in existing courses. The topics will depend on the research interests of the instructor and the students. Grade Mode: Normal, Audit Credit Hours: 1 to 3 Contact Hours: 1 to 3 Lecture Hours: 1 to 3 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.
	STAT 9300 - Dissertation Research Prerequisites: Admission to PH.D. candidacy and permission of Major Advisor. The student works closely with his/her faculty mentor on an in-depth study of a research question of interest to both student and advisor. The course may be repeated as necessary until the student completes the research. Grade Mode: Satisfactory/Unsatisfactory, Audit Credit Hours: 1 to 12 College Restrictions: The Graduate School Level Restrictions: Graduate Semester Click here for the Schedule of Classes.

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Course Descriptions

STAT 6300 - Introduction to Epidemiology and Biostatistics

STAT 7010 - Biostatistics I

STAT 7020 - Biostatistics II

STAT 7040 - Biomedical Statistics

STAT 7050 - Research Design and Statistics

STAT 7060 - Research Design and Statistics

STAT 7070 - Biomedical Statistics

STAT 8110 - Introduction to Biostatistics

STAT 8120 - Probability & Distributions

STAT 8130 - Introduction to Epidemiology

STAT 8140 - Programming for Data Analy

STAT 8210 - Linear Models I

STAT 8220 - Est & Hypothesis Testing

STAT 8230 - Experimental Design

STAT 8240 - Introduction to Clinical Trials

STAT 8260 - Design Analysis and Observational Studies

STAT 8270 - Categorical Data Analysis

STAT 8310 - Linear Models II

STAT 8311 - Demo & Analy Rates & Prop

STAT 8320 - Time to Event Data Analysis

STAT 8321 - Statistical Models of Molecular Evolution and Phylogenetics

STAT 8330 - Special Topics in Biostat

STAT 8331 - Mendelian Genetics

STAT 8340 - Readings and Research

STAT 8341 - Intro to Clinical Trials

STAT 8350 - Epidemic Modeling

STAT 8360 - Systematic Reviews

STAT 8370 - Intermediate Epidemiology

STAT 8390 - Seminar in Clinical and Translational Science

STAT 8400 - Mentored Research in Clinical and Translational Science

STAT 8410 - Generalized Linear Models (GLMS)

STAT 8412 - Epidemic Modeling

STAT 8422 - Biological Sequence Analysis

STAT 8432 - Quantitative Genetics

STAT 8442 - Design Analy Clinical Trials

STAT 8510 - Programming for Data Analysis

STAT 8513 - Systematic Reviews

STAT 8520 - Statistical Theory I

STAT 8523 - Analysis of Microarray Gene Expression Data

STAT 8533 - Medical Genetics and Genetic Epidemiology

STAT 8550 - High Throughput Data Analysis

STAT 8600 - Biostat Consulting in Res

STAT 8610 - Applied Linear Models I

STAT 8620 - Statistical Theory II

STAT 8630 - Applied Linear Models

STAT 8640 - Generalized Linear Models I

STAT 8650 - Introduction to Stochastic Processes

STAT 8710 - Applied Linear Models II

STAT 8720 - Survival Analysis

STAT 8740 - Design and Analysis of Clinical Trials

STAT 8750 - Introduction to Genetic Analysis

STAT 8870 - Biostatistical Consulting in Research

STAT 8880 - Special Topics

STAT 8890 - Readings and Research

STAT 8910 - Biostatistical Consulting Project

STAT 8920 - Thesis Research

STAT 9000 - Thesis Research

STAT 9110 - Generalized Linear Models

STAT 9120 - Theory of Linear Models

STAT 9140 - Generalized Linear Models II

STAT 9150 - Advanced Statistical Methods in Genetic Analysis I

STAT 9160 - Analysis of Clustered and Correlated Data

STAT 9170 - Advanced Computational Methods

STAT 9220 - Advanced Statistical Inference

STAT 9230 - Nonparametric and Robust Statistical Methods

STAT 9240 - Bayesian Inference

STAT 9250 - Advanced Statistical Methods in Genetic Analysis II

STAT 9270 - Computational Genomics and Proteomics

STAT 9280 - Advanced Special Topics

STAT 9300 - Dissertation Research