BIOS 5000V Special Topics in Biostatistics — 1–3 credits
Advanced work in specialized fields such as bioassay, multivariate analysis, time series, and related topics. May be repeated for credit, with limits.
BIOS 50133 Biostatistics I — 3 credits
Introductory biostatistics covering descriptive statistics, epidemiologic concepts, probability, diagnostic test statistics, hypothesis testing, sample size and power, cross-tabulations, correlation, nonparametric tests, regression, randomization, multiple comparisons, and ANOVA.
BIOS 51131 Biostatistics Computing with R I — 1 credit
Introduction to R for Biostatistics I topics, including data input, descriptive statistics, t-tests, confidence intervals, chi-square tests, regression, ANOVA, and nonparametric methods.
BIOS 52001 Biostatistics Computing with R II — 1 credit
R computing for Biostatistics II topics, with emphasis on data input, statistical summaries, t-tests, confidence intervals, chi-square tests, regression, ANOVA, and nonparametric methods.
BIOS 52103 Biostatistics II: Advanced Linear Models — 3 credits
Covers multiple regression and linear models for ANOVA, including factorial designs, repeated measures, multiple covariates, and introductions to logistic and nonlinear regression.
BIOS 52133 Biostatistics Computing with SAS I — 3 credits
Introduction to SAS for data management and programming, including SAS libraries, raw data input, reading and writing external files, recoding, and basic programming techniques.
BIOS 52143 Categorical Data Analysis — 3 credits
Methods for categorical data including binomial and Poisson distributions, 2×2 tables, Fisher’s exact test, McNemar test, stratified analysis, trend analysis, and logistic regression.
BIOS 52233 Biostatistics III: Multivariate Analysis and Linear Models — 3 credits
Applied multivariate methods including principal components, factor analysis, path analysis, structural equation models, discriminant analysis, classification, clustering, Hotelling’s T-square, and MANOVA.
BIOS 53153 Logistic Regression and Survival Analysis — 3 credits
Logistic regression and survival analysis, including Kaplan-Meier methods, log-rank tests, Cox regression, variable selection, model building, and model diagnostics.
BIOS 53173 Biostatistics Computing with SAS II — 3 credits
Advanced SAS programming and data management, including arrays, macro variables, and macro programs, with emphasis on programming rather than extensive statistical procedures.
BIOS 53243 Analyzing Health Surveys — 3 credits
Fundamentals of survey sampling and analysis, including national health surveys, published survey analyses, and applied analysis using national health survey data.
REGS 51073 Statistical Methods for Clinical Trials — 3 credits
(Co-taught with Regulatory Sciences) Principles for planning, managing, analyzing, and interpreting clinical trials, including statistical methods for Phase I–III single- and multicenter studies.