2006•Unpublished venueRequires access

Predicting Outcomes Over Time: Survival Analysis

Joseph D. Schulman

Abstract

The prelims comprise: Analyzing the time to an event Survival data Censoring Survivor and hazard functions Setting up a survival data set in Stata Kaplan–Meier nonparametric method Comparing survival outcomes: Kaplan–Meier method Cox semiparametric method, and a brief mention of parametric methods Survival analysis:summary and comparison to logistic regression

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Available abstract

Key concepts: Censoring (clinical trials), Survival analysis, Proportional hazards model, Accelerated failure time model, Nonparametric statistics, Logistic regression, Survival function, Statistics