Learn essential techniques for survival analysis in this 30-minute tutorial. Generate censored exponential data in R, derive density and likelihood functions for censored data, and explore the Kaplan-Meier estimator as a maximum likelihood estimator. Gain practical skills to analyze time-to-event data and handle censoring in statistical studies.
Overview
Syllabus
Generating Censored Exponential Data in R.
Derive the Density and Likelihood for Censored Data.
Kaplan Meier Estimator as an MLE.
Taught by
statisticsmatt
