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Epidemiology & Survival Analysis
·
Module 5
Fundamentals of Survival Analysis
1
Understanding Time-to-Event Data and Censoring
Define time-to-event data and identify different types of censoring (right, left, interval).
2
The Derivative as Instantaneous Risk Rate
Interpret the derivative as an instantaneous rate of change in the context of risk.
3
The Integral as Accumulated Hazard
Interpret the integral as an accumulated total in the context of cumulative hazard.
4
Survival and Hazard Functions
Define and interpret the survival function S(t) and the hazard function h(t).
5
Survival, Hazard, and PDF Interrelationships
Explain the mathematical relationships between the survival, hazard, and probability density functions.
6
Kaplan-Meier Survival Analysis
Estimate a survival function from censored data using the Kaplan-Meier method.
7
Comparing Survival Curves with the Log-Rank Test
Compare survival distributions between two or more groups using the log-rank test.
Previous module
Design and Interpretation of Clinical Trials
Next module
The Cox Proportional Hazards Model