GEN 6399

Intermediate Biostatistics: Regression, Prediction, Survival Analysis

Stanford University · UGRD · Fall 2026

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Methods for analyzing longitudinal data. Topics include Kaplan-Meier methods, Cox regression, hazard ratios, time-dependent variables, longitudinal data structures, profile plots, missing data, modeling change, MANOVA, repeated-measures ANOVA, GEE, and mixed models. Emphasis is on practical applications. Prerequisites: basic ANOVA and linear regression.

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Class #stanford-6399Fall 2026UGRD3 credits
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