The Biostatistics Program at GVSU

Course Descriptions

STA 610 Applied Statistics for Health Professions.

Project-oriented overview of major statistical techniques commonly used in problems encountered in health professions. Students will learn to use a major statistical computing package. Hypothesis testing, t-tests, regression, analysis of variance, analysis of covariance, categorical data analysis, nonparametric statistics.

Prerequisite: 215 or equivalent. Three credits. Offered fall, winter, and summer semesters.

STA 615 Design of Experiments for Engineers.

Application-oriented overview of designed experiments commonly encountered in engineering. Students will learn about planning and conducting experiments and about analyzing the resulting data using a major statistical package. Simple comparative experiments concerning means and variances, experiments with single or multiple factors, factorial designs, Taguchi designs, and response surface methodology.

Prerequisites: 513 or 312 or 314. Three credits. Offered winter semesters on even numbered years.

STA 616 Statistical Programming.

Provides intensive instruction in the use of SAS to prepare data for statistical analysis. Topics include: importing/exporting data in various formats; character and numeric manipulation; merging, setting and combining datasets; effective programming skills using arrays, loops and macros; creating graphs; producing reports.

Prerequisites: 610 or 622. Three credits. Offered winter semesters.

STA 621 Design of Experiments and Regression.

Design and analysis of single- and multiplefactor experiments. Includes block designs, repeated measures, factorial and fractional factorial experiments, response surface experimentation. Techniques include simple and multiple linear regression, repeated measures, generalized linear models, correlation, model building diagnosis. Applications in biological and biomedical problems. A computer package will be used.

Prerequisite: 616. Four credits. Offered winter semesters.

STA 622 Statistical Methods for Biologists.

Design of experiments and application of statistical techniques commonly used by biologists. Emphasis on techniques for count data, correlation and regression, analysis of variance, multivariate analysis, and nonparametric methods using biological data. A computing package will be utilized throughout the course.

Prerequisites: 215. Three credits. Offered fall semesters.

STA 623 Categorical Data Analysis.

A study of regression models for the analysis of categorical data: logistic, probit and complementary log-log models for binomial random variables; log-linear models for cross-classification of counts; regression models for Poisson rates; and multinomial responses models for both nominal and ordinal responses. Model specification and interpretation are emphasized.

Prerequisite: 412 and 616. Three credits. Offered winter semesters.

STA 625 Clinical Trials.

This course is designed for individuals with a quantitative background who are interested in the scientific, policy, design and management aspects of clinical trials. Topics include types of treatment allocation and randomization, patient recruitment and adherence, power and sample size, interacting with monitoring committees, administering multicenter trials, and study closeout.

Prerequisites: 610 and one of the following: PSM 650, SHP 610, BIO 610, HS 601, or NUR 690. Two credits. Offered winter semesters.

STA 630 Perspectives in Advanced Biostatistics.

Reflecting on the knowledge and skills acquired throughout the biostatistics program and internship, this course examines the responsibilities of a professional biostatistician. This course will also examine current topics in biostatistics including survival analysis (including Kaplan-Meier estimation), sequential analysis of emerging data, bioequivalence, analysis of health surveys, and Bayesian methods.

Prerequisites: 415, 621 and PSM 691. Three credits. Offered winter semesters.

STA 680 Special Topics.

Readings, lecture, discussions, or labs (or any combination of these) in special topics in statistics or biostatistics.

Prerequisites: Depends on the topic. One to four credits.

STA 699 Independent Study.

Independent research in an area of statistics or biostatistics that is of interest to the student and the supervising faculty member. Readings and discussions may be appropriate. Hours, credits, meeting times, and the topic(s) in statistics or biostatistics are determined by the student and faculty mentor. Departmental approval is required. One to four credits. Offered fall and winter semesters.

Page last modified November 28, 2012