Biostatistics (BST)

BST 50196     INDIVIDUAL INVESTIGATION IN BIOSTATISTICS      1-3 Credit Hours

(repeatable for maximum 6 credits) Individual graduate investigation or research in areas related to biostatistics.

Prerequisite: graduate standing and special approval.

Schedule Type: Individual Investigation

Contact Hours: 1-3 other

Grade Mode: Standard Letter-IP

BST 52019     BIOSTATISTICS IN PUBLIC HEALTH      4 Credit Hours

Provides students with an understanding of basic statistical methods in public health research, as well as the skills to perform and interpret basic statistical procedures. Students learn how to use statistical analysis software to analyze real data from public health-related studies. They then learn how to interpret the analysis and present the results to public health professionals and educated lay audiences. Includes lab component which enhances student awareness and informed usage of SAS for public health analysis. Students learn how to input, read, store, export, and modify data in SAS and be able to use common SAS procedures to analyze public health data and conduct independent SAS programming.

Prerequisite: graduate standing.

Schedule Type: Laboratory, Lecture

Contact Hours: 3 lecture, 1 lab

Grade Mode: Standard Letter

BST 60191     VARIABLE CONTENT SEMINAR IN BIOSTATISTICS      1-3 Credit Hours

(Repeatable for credit) Seminar on current and important topics in biostatistics. Subject matter varies depending on the topic.

Prerequisite: Graduate standing.

Schedule Type: Seminar

Contact Hours: 1-3 other

Grade Mode: Standard Letter

BST 60192     PRACTICUM EXPERIENCE IN BIOSTATISTICS      6 Credit Hours

Observational and participation in public health activities of a public health agency, hospital or other approved organization. The student completes the field experience with joint supervision from the university and approved organization or agency.

Prerequisite: graduate standing and special approval.

Schedule Type: Practicum or Internship

Contact Hours: 20 other

Grade Mode: Satisfactory/Unsatisfactory-IP

BST 60195     SPECIAL TOPICS IN BIOSTATISTICS      1-3 Credit Hours

(Repeatable for a maximum of 6 credit hours) Special topics to sample new offerings on topics in biostatistics.

Prerequisite: Graduate standing.

Schedule Type: Lecture

Contact Hours: 1-3 lecture

Grade Mode: Standard Letter

BST 63012     SURVIVAL ANALYSIS IN PUBLIC HEALTH      3 Credit Hours

Introduction in survival analysis for graduate students in public health. Covers survival functions, hazard rates, types of censoring and truncation. Methods of focus include life tables, Kaplan-Meier plots, log-rank tests, Cox regression models and parametric survival models. Inference for recurrent event and competing risks models are also covered.

Prerequisite: BST 52019 and 63014; and graduate standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 63013     EXPERIMENTAL DESIGNS IN PUBLIC HEALTH RESEARCH      3 Credit Hours

Introduces students to experimental research methods, in public health settings. First introduces a number of quasi-experimental and experimental study designs, then identifies a number of statistical methods that can be used to draw correct causal inferences from the study.

Prerequisite: BST 52019 and 63014; and graduate standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 63014     APPLIED REGRESSION ANALYSIS OF PUBLIC HEALTH DATA      3 Credit Hours

(Cross-listed with BST 83014) Focuses on developing student proficiency in building and evaluating various regression models for public health studies. Topics covered include exploratory and descriptive methods, simple and multiple linear regression models, predictor selection, binary and multinomial logistic regression models, survival analysis, repeated measures and generalized linear models.

Prerequisite: BST 52019 and graduate standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 63015     CATEGORICAL DATA ANALYSIS OF PUBLIC HEALTH DATA      3 Credit Hours

(Cross-listed with BST 83015) Provides an applied introduction to the most important methods for analyzing categorical data in public health. Topics covered include contingency tables, logistic regression, generalized linear models, modeling matched pairs and clustered responses.

Prerequisite: BST 52019 and EPI 52017; and graduate standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 73011     MULTIVARIATE ANALYSIS IN PUBLIC HEALTH      3 Credit Hours

Multivariate statistical methods are designed to evaluate more than one variable at a time. An application-oriented introduction to essential multivariate statistical methods used in public health. Topics covered include matrix theory, data screening and preliminary analyses, multivariate normal distributions, multivariate versions of the general linear model (MANOVA, multivariate multiple regression, MANCOVA), discrimination and classification, canonical correlation analysis, and methods of analyzing covariance and correlation structures (principal components and factor analysis). Also introduces and explores methods of handling missing data.

Prerequisite: BST 52019 and doctoral standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 83012     SURVIVAL ANALYSIS IN PUBLIC HEALTH      3 Credit Hours

Covers survival functions, hazard rates, types of censoring and truncation. Methods of focus include life tables, Kaplan-Meier plots, log-rank tests, Cox regression models and parametric survival models. Inference for recurrent event and competing risks models are also covered.

Prerequisite: BST 52019; and BST 63014 or 83014; and doctoral standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 83013     EXPERIMENTAL DESIGNS IN PUBLIC HEALTH RESEARCH      3 Credit Hours

Designed to introduce students to experimental research methods, in public health settings. First introduces a number of quasi-experimental and experimental study designs, then identifies a number of statistical methods that can be used to draw correct causal inferences from the study. Students are expected to develop two research proposals, first using quasi-experimental then an experimental design and develop a statistical analysis plan for each study.

Prerequisite: BST 52019; and BST 63014 or 83014; and doctoral standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 83014     APPLIED REGRESSION ANALYSIS OF PUBLIC HEALTH DATA      3 Credit Hours

(Cross-listed with BST 63014) Focuses on developing student proficiency in building and evaluating various regression models for public health studies. Topics covered include exploratory and descriptive methods, simple and multiple linear regression models, predictor selection, binary and multinomial logistic regression models, survival analysis, repeated measures and generalized linear models.

Prerequisite: BST 52019 and doctoral standing.

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter

BST 83015     CATEGORICAL DATA ANALYSIS OF PUBLIC HEALTH DATA      3 Credit Hours

(Cross-listed with BST 63015) Provides an applied introduction to the most important methods for analyzing categorical data in public health. Topics covered include contingency tables, logistic regression, generalized linear models, modeling matched pairs, mixed models for categorical data and clustered responses. Prerequisites: BST 52019 and EPI 52017; and doctoral standing

Schedule Type: Lecture

Contact Hours: 3 lecture

Grade Mode: Standard Letter