ST 475 - R Computing and Survival Analysis

(3.00 cr.)

Prerequisite: EC 220 or EG 381 or PY 292 or ST 210 or ST 265 or ST 381 . R is a free software environment for statistical computing and graphics that is used extensively in academia. Computing topics in R include loops, conditional statements, input/output of data, statistical and graphical functions, simulation, bootstrapping, and permutation tests. Survival topics include hazard functions, survival functions, types of censoring, contingency tables analysis, relative risk, odds ratios, Cochran-Mantel-Haenszel methods, life table analysis, Kaplan-Meier methods, Cox proportional hazards models, and Poisson regression. Parametric methods and various nonparametric alternatives are discussed. (Fall only) (Even Years)