GMS 6818 Design and Conduct Clinical Trials I 2 Credits

Grading Scheme: Letter Grade

Scientific evaluation of health care interventions by clinical trials and the ethics, principles, and conduct of clinical trials in an epidemiological context.

Prerequisite: consent of instructor.

Catalog Program Pages Referencing GMS 6818

GMS 6819 Design and Conduct Clinical Trials II 2 Credits

Grading Scheme: Letter Grade

Complex issues in analyzing and interpreting clinical trials.

Prerequisite: consent of instructor.

Catalog Program Pages Referencing GMS 6819

GMS 6827 Advanced Clinical Trial Methods 3 Credits, Max 9 Credits

Grading Scheme: Letter Grade

Statistical principles and methods used in the design and analysis of clinical trials. Rotating topics include group sequential designs, adaptive clinical trials, and Statistical Monitoring of Clinical Trials.

Prerequisite: consent of instructor.

Catalog Program Pages Referencing GMS 6827

GMS 6841 Design and Analysis of Translational Research in Biomedical Sciences 2 Credits

Grading Scheme: Letter Grade

Common statistical analysis methods and widely used experimental design techniques including hypothesis testing, study design, confidence intervals, multiple regression, longitudinal data analysis, Non-linear regression for pharmacokinetics and pharmacodynamics, Kaplan-Meier estimates, proportional hazards models, randomization, and power analysis.

Catalog Program Pages Referencing GMS 6841

GMS 6861 Applied Biostatistics I 3 Credits

Grading Scheme: Letter Grade

Basic probability and distribution concepts and statistical analysis methods, including descriptive measures, point estimation, hypothesis testing (e.g., t test, analysis of variance, chi-square test etc.), confidence interval, simple linear regression and some nonparametric methods. SPSS will be used for basic statistical analyses.

Prerequisite: Consent of Department.

Catalog Program Pages Referencing GMS 6861

GMS 6862 Applied Biostatistics II 3 Credits

Grading Scheme: Letter Grade

Provides background to apply and appropriately interpret statistical applications in the medical and health related fields, and to formulate clinical and basic science research questions in statistical terms.

Prerequisite: Applied Biostatistics I

Catalog Program Pages Referencing GMS 6862

PHC 6020 Clinical Trial Methods 3 Credits

Grading Scheme: Letter Grade

Basic statistical concepts and methods used in clinical trials and the statistical principles and methods including phase I to IV clinical trials.

Prerequisite: STA 6208/STA 6209   , STA 6326/STA 6327, or equivalent

Catalog Program Pages Referencing PHC 6020

PHC 6022 Design and Conduct of Clinical Trials 3 Credits

Grading Scheme: Letter Grade

Scientific evaluation of health care interventions by clinical trials and the ethics, principles, and conduct of clinical trials in an epidemiological context. Complex issues in analyzing and interpreting clinical trials.

Prerequisite: STA 2023 (Introduction to Statistics I) or equivalent, and permission of the instructors. Students are expected to have basic statistical knowledge.

Catalog Program Pages Referencing PHC 6022

PHC 6050C Biostatistical Methods I 3 Credits

Grading Scheme: Letter Grade

Biostatistical data analysis using linear models; theory and practice of regression and analysis of variance in the health sciences.

Prerequisite: basic knowledge of data analysis, linear algebra, and calculus III, and consent of instructor.

PHC 6051 Biostatistical Methods II 3 Credits

Grading Scheme: Letter Grade

Biostatistical data analysis using generalized linear models, generalized linear mixed models, semiparametric and nonparametric regression, and neural networks; theory and practice in the health sciences.

Prerequisite: consent of instructor and Biostatistical Methods I.

Catalog Program Pages Referencing PHC 6051

PHC 6055 Biostatistical Computing Using R 1 Credit

Grading Scheme: Letter Grade

Provide an environment for learning how to input, store, modify, display and analyze data using R. Developing basis R programming skills including working with vectors, lists, arrays and matrices, writing functions and using R to simulate data.

Prerequisite: PHC 6053 or equivalent. Students must also have access to a laptop for in-class use.

Catalog Program Pages Referencing PHC 6055

PHC 6059 Introduction to Applied Survival Analysis 3 Credits

Grading Scheme: Letter Grade

Survival analysis is about the analysis of time-to-event data. The goal of this course is to help you understand the fundamental concepts of survival analysis and their applications in epidemiology and biomedical sciences. Basic concepts from probability and introductory statistics will be reviewed as needed.

Prerequisite: Prior training in statistics (PHC 6052 or equivalent) and knowledge of multiple regression (PHC 6053 or equivalent). R programming experience will also be helpful.

Catalog Program Pages Referencing PHC 6059

PHC 6063 Biostatistical Consulting 3 Credits

Grading Scheme: Letter Grade

Providing training for M.S. and Ph.D students in Biostatistics on the statistical aspects of research problems.

Prerequisite: Biostatistical Methods I and II or consent of the instructor. ;

Corequisite: All faculty teaching this course have completed at least 18 graduate semester hours in the teaching discipline and hold at least a master's degree.

Catalog Program Pages Referencing PHC 6063

PHC 6068 Biostatistical Computing 3 Credits

Grading Scheme: Letter Grade

Algorithms for statistical computing and their applications in biostatistics.  Computational techniques for data analysis, random number generation, Monte Carlo integration, stochastic optimization.  High-dimensional data analysis, large scale hypothesis testing, stochastic optimization, Markov chain Monte Carlo (MCMC), missing data analysis, selected biological applications.

Prerequisite: PHC 6092 , PHC 6050 , and PHC 6051 , or permission of the instructor.

Catalog Program Pages Referencing PHC 6068

PHC 6075 Biostatistical Literacy 3 Credits

Grading Scheme: Letter Grade

Research in the health sciences requires appropriate study design, statistical analysis and interpretation of results. This course introduces basic concepts and techniques, including types of data, inference, and regression, necessary to read, interpret, and critically evaluate statistical results in health science literature relevant to the interests of the student.

Prerequisite: graduate students in the health sciences and requires a basic knowledge of mathematics, including algebra (for example, MAC 1105 and MAC 1114, or MAC 1140, or equivalent).

Catalog Program Pages Referencing PHC 6075

PHC 6080 SAS for Public Health - Data 1 Credit

Grading Scheme: Letter Grade

Input, storage and modification of data using SAS.

Prerequisite: PHC 6052 or equivalent.

Catalog Program Pages Referencing PHC 6080

PHC 6081 SAS for Public Health - Analysis 1 Credit

Grading Scheme: Letter Grade

Frequently-used SAS procedures to conduct common statistical analyses.

Prerequisite: PHC 6052 or equivalent.

Catalog Program Pages Referencing PHC 6081

PHC 6088 Statistical Analysis of Genetic Data 3 Credits

Grading Scheme: Letter Grade

An introduction to statistical procedures for genetic studies. This class will emphasize the statistical theory behind methods for analyzing genetic data and its application in useful software tools. This course prepares students for potential research in statistical genetics but is also open to a wider community. \

Prerequisite: PHC 6092 and PHC 6050C or equivalent. Permission at the discretion of the instructor may be granted if the student is familiar with linear algebra, maximum likelihood, simple hypothesis testing, and linear regression.

Catalog Program Pages Referencing PHC 6088

PHC 6089 Public Health Computing 3 Credits

Grading Scheme: Letter Grade

This course covers using SAS and R to manage and analyze public health data. Students will learn how to import, modify, visualize and perform common analyses of public health data using SAS and R.

Prerequisite: PHC 6052 or or approval of the instructor.

Catalog Program Pages Referencing PHC 6089

PHC 6092 Introduction to Biostatistical Theory 3 Credits

Grading Scheme: Letter Grade

Concepts and principles of statistical theory, including probability and random variables, parameter estimation, confidence intervals, hypothesis testing, asymptotic analysis, Bayesian inference, statistical decision theory and linear models.

Prerequisite: Multivariable calculus or permission of the instructor.

Catalog Program Pages Referencing PHC 6092

PHC 6790 Biostatistical Methods Using SAS 3 Credits

Grading Scheme: Letter Grade

This course is to introduce and prepare students for biostatistical computing using the SAS statistical software. It builds on the knowledge obtained in the Biostatistical Methods I and II courses by reinforcing the material and focusing on application within the SAS framework.

Prerequisite: PHC 6050C and PHC 6051, or Instructor determination of equivalent background.

Catalog Program Pages Referencing PHC 6790

PHC 6937 Special Topics in Public Health 1-6 Credits, Max 6 Credits

Grading Scheme: Letter Grade

Special Topics in Public Health

Catalog Program Pages Referencing PHC 6937

PHC 7013 Bias in Observational Research 3 Credits

Grading Scheme: Letter Grade

Identifying sources of bias in observational data analysis. Statistical methods for bias adjustment in theory and in practice, with emphasis on confounding, missing data, and measurement error.

Prerequisite: PHC 6000 PHC 6011 STA 6166 and a graduate level regression course or equivalent.

Catalog Program Pages Referencing PHC 7013

PHC 7056 Analysis of Longitudinal Data 3 Credits

Grading Scheme: Letter Grade

Likelihood-based and semiparametric methods for longitudinal data. Methods to deal with missing data in both settings.

Prerequisite: STA 6326 , STA 6327   (or equivalent), STA 6207 , STA 6208 (or equivalent), and STA 6246   (or equivalent).

Catalog Program Pages Referencing PHC 7056

PHC 7066 Large Sample Theory 3 Credits

Grading Scheme: Letter Grade

Detailed introduction to large sample theory and its application in univariate and multivariate parametric and nonparametric estimation.

Prerequisite: STA 6326   and STA 6327 (or equivalent).

Catalog Program Pages Referencing PHC 7066

PHC 7090 Advanced Biostatistical Methods I 3 Credits

Grading Scheme: Letter Grade

Theory and application for estimation and hypothesis testing for independent data using linear models. Principles of Frequentist and Bayesian estimation and inference. Application using statistical software. Writing data analysis reports.

Prerequisite: PHC 6050, PHC 6051, STA 6326, and STA 6327, or permission of the instructor

Catalog Program Pages Referencing PHC 7090

PHC 7091 Advanced Biostatistical Methods II 3 Credits

Grading Scheme: Letter Grade

Theory and application for independent and dependent data using generalized linear models and generalized linear mixed models. Bayesian and Frequentist inference. Application using statistical software. Writing data analysis reports.

Prerequisite: PHC 7090 Advanced Biostatistical Methods I or equivalent

Catalog Program Pages Referencing PHC 7091

PHC 7925 Biostatistics Journal Club 1-3 Credits, Max 8 Credits

Grading Scheme: S/U

Meeting weekly to present, review, and discuss current articles in biostatistics or statistics journals or discipline-specific (e.g. medicine, public health, epidemiology) articles with substantive biostatistical content.

Catalog Program Pages Referencing PHC 7925

PHC 7979 Advanced Research 1-12 Credits

Grading Scheme: S/U

Research for doctoral students before admission to candidacy. Designed for students with a master's degree in the field of study or for students who have been accepted for a doctoral program. Not appropriate for students who have been admitted to candidacy.

Catalog Program Pages Referencing PHC 7979

PHC 7980 Research for Doctoral Dissertation 1-15 Credits, Max 15 Credits

Grading Scheme: S/U

Research for Doctoral Dissertation

Catalog Program Pages Referencing PHC 7980

STA 6177 Applied Survival Analysis 3 Credits

Grading Scheme: Letter Grade

Focusing on survival analysis, Kaplan-Meier estimates, proportional hazards model, related tests, phase I, II, and III clinical trials, designs and protocols.

Prerequisite: STA 6327

Catalog Program Pages Referencing STA 6177

STA 6707 Analysis of Multivariate Data 3 Credits

Grading Scheme: Letter Grade

Techniques for analyzing multivariate data. Emphasis on MANOVA and tests on the structure of the dispersion matrix. Topics will include discriminant, factor, profile, and cluster analyses.

Prerequisite: STA 6208 and facility in a computer language.

Catalog Program Pages Referencing STA 6707

STA 7179 Survival Analysis 3 Credits

Grading Scheme: Letter Grade

Theoretical introduction to statistical inferential procedures useful for analyzing randomly right censored failure time data.

Prerequisite: STA 6177.

Catalog Program Pages Referencing STA 7179