SLU School of Public Health

MPH with a concentration in Biostatistics
MPH with a concentration in Biostatistics and Epidemiology
PhD in Biostatistics

Course Offerings in Biostatistics (number of credits)

BST-C500 PRINCIPLES OF BIOSTATISTICS (3)
This course is designed as an introduction to statistical analysis for students in public health, health administration and research. It is for persons interested in learning the fundamental concepts and techniques of descriptive and inferential statistics with particular emphasis on application in health care administration, business, marketing, and epidemiology. Basic statistics, including probability, descriptive statistics, inference for means and proportions and regression methods are presented.

BST-C510 NONPARAMETRIC STATISTICAL METHODS (2-3)
In this course we discuss and apply statistical methods based on the order relations among observations in a data set. The advantages and drawbacks of these methods versus parametric methods are presented. Several types of tests are described for making single and multiple group comparisons. Measures of association are also presented. Practical application in clinical, epidemiological, and socio-behavioral research are provided.

BST-C511 CATEGORICAL DATA ANALYSIS (3)
This course is designed as an introduction to the analysis of cross-classified categorical data using loglinear models. Linear logistic and polytomous response models will also be presented. Emphasis will be on the proper application of these techniques to biomedical and health services data. The GLIM, BMDP, and SAS statistical packages will be used for data management and analysis.

BST-C520 SURVIVAL DATA ANALYSIS (3)
This course treats statistical methods for analyzing survival data derived from laboratory, clinical, and epidemiological studies of humans. Both parametric and nonparametric approaches are presented. Focus will be in the practical applications of these methods to clinical and epidemiological research. The SAS and BMDP statistical packages will be used for data management and analysis.

BST-C525 NETWORK AND CLUSTER ANALYSIS (3)
This course is an introduction to the analytic methods of network analysis and cluster analysis. Students will learn how network and cluster methods are used to explore and analyze patterns of relationships among cases (persons, actors, organizations, communities, etc.) Focus will be on the practical applications of network and cluster analysis to social and health science research, including data collection, analysis, interpretation, presentation of results, and choice of software packages.

BST-C530 EXPLORATORY DATA ANALYSIS (3)
This seminar provides an in-depth treatment of the statistical techniques known as exploratory data analysis (EDA). Topics include data reexpression, data smoothing, box and stem-and-leaf plots, resistant summary statistics and the visual display of quantitative information. Students will learn how to use EDA tools both to enrich their descriptive statistical analyses as well as to improve the quality of their inferential statistical analyses. Specialized EDA software (e.g. JMP) will be used throughout the course.

BST-C594 BIOSTATISTICAL CONSULTING (3)
Students enrolling in this course will work as partners with the Biostatistics faculty in the School of Public Health in the various research and biostatistical consulting projects. The purpose of the class in to give students hand-on opportunities to understand both the technical and human side of statistical consulting.

BST-C597 RESEARCH TOPICS IN BIOSTATISTICS (1-3)
This course provides direct research experience in biostatistics. Content is developed jointly between the student(s) and a faculty mentor.

BST-C598 GRADUATE READING IN BIOSTATISTICS (1-3)
This course provides specialized study in biostatistics to enhance skills in literature review and problem solving. Content is developed jointly between the student(s) and a faculty mentor.

BST-C600 APPLIED LINEAR STATISTICAL MODELS I - ANOVA METHODS (3)
This is the first of a two course sequence on linear statistical models. This sequence represents a unified approach to the application of linear statistical models in regression, analysis of variance, and experimental design in biomedical and health services research. Both the theory and application of the general linear model (GLM) are presented.

BST-C601 APPLIED LINEAR STATISTICAL MODELS II - REGRESSION METHODS(3)
This is the second of a two course sequence on linear statistical models. This sequence represents a unified approach to the application of linear statistical models in regression, analysis of variance, and experimental design in biomedical and health services research. Both the theory and application of the general linear model (GLM) are presented.

BST-C610 APPLIED MULTIVARIABLE STATISTICAL METHODS (3)
This course is a second-level statistics course intended for graduate students in public health, health sciences, and health services research who plan to engage in applied research. A general linear models approach is taken to the presentation of linear regression and other multivariable methods. Topics include: regression analysis, analysis of variance, discriminant analysis, categorical data analysis, logistic regression, and survival analysis.

This website was created and is maintained by Alexis Duncan. Last updated October 2, 2001.