Courses in Biostatistics (BIOS)

BIOS 200 - Med Biostatistics&Epidemiology

Introductory design and analysis of medical studies. Epidemiological concepts, case-control and cohort studies. Clinical trials. Students evaluate statistical aspects of published health science studies. Prerequisite: Statistics 141 or 143 or 211. Three hours. Cross-listing: Statistics 200.

Credits: 3

BIOS 211 - Statistical Methods I

Cross listed with STAT 211.

Credits: 3

BIOS 221 - Statistical Methods II

Multiple regression and correlation. Basic experimental design. Analysis of variance (fixed random and mixed models). Analysis of covariance. Computer software usage. Cross-listing: STAT 221.

Credits: 3

BIOS 223 - Applied Multivariate Analysis

Multivariate normal distribution. Inference for mean vectors and covariance matrices. Multivariate analysis of variance (MANOVA), discrimination and classification, principal components, factor analysis. Prerequisites: Any 200 level stat course, 221 or 225 recommended, matrix algebra recommended. Cross-listing: STAT 223.

Credits: 3

BIOS 229 - Survival Analysis

Probabilistic models and inference for time-to-event data. Censored data, life tables, Kaplan-Meier estimation, logrank tests, proportional hazards regression. Specialized applications (e.g. clinical trials, reliability). Prerequisites: Any 200 level statistics course, one year of calculus. Cross-listings: STAT 229.

Credits: 3

BIOS 231 - Experimental Design

Randomization, complete and incomplete blocks, cross-overs, Latin squares, covariance analysis, factorial experiments, confounding, fractional factorials, nesting, split plots, repeated measures, mixed models, response surfact optimization. Prerequisites: 211; 221 recommended. Cross-listing: STAT 231.

Credits: 3

BIOS 235 - Categorical Data Analysis

(Cross listed with Statistics 235.) Measures of association and inference for categorical and ordinal data in multiway contingency tables. Log linear and logistic regression models. Prerequisite: 211.

Credits: 3

BIOS 241 - Statistical Inference

Introduction to statistical theory; related probability fundamentals, derivation of statistical principles, and methodology for parameter estimation and hypothesis testing. Pre/co-requisites: 151 or 153 or 251; 141 or equivalent; Math 121. Cross-listed: STAT 241

Credits: 3

BIOS 251 - Probability Theory

Distribution of random variables and functions of random variables. Expectations, stochastic independence, sampling and limiting distributions (central limit theorems). Concepts of random number generation. Pre/co-requisites: Math 121; STAT 141 or 153 recommended. Cross-listings: MATH 207, STAT 251.

Credits: 3

BIOS 261 - Statistical Theory 1

Point and interval estimation, hypothesis testing, and decision theory. Application of general statistical principles to areas such as nonparametric tests, sequential analysis, and linear models. Pre/co-requisites: STAT 251 or either STAT 151 or STAT 153 with instructor permission. Cross-listed: STAT 261

Credits: 3

BIOS 308 - Applied Biostatistics

The rationale and application of biostatistical methods in the biological, health and life sciences with emphasis on interpreting and reporting. Cross-listings: MPBP 308, STAT 308; Prerequisites: STAT 141 or equivalent.

Credits: 3

BIOS 350 - Advanced Methods in Biostat

Essential topics in modern biostatistics including epidemiology studies, clinical trials, statistical genetics, issues involved in secondary data analysis of complex surveys. Prerequisites: STAT 261 & STAT 200 or instructor permission. Cross-listed with STAT 350.

Credits: 3

BIOS 391 - Master's Thesis Research

Credit as arranged.

Credits: 1 to 12

BIOS 395 - Advanced Special Topics

Credits: 1 to 6