A practical guide to survival data analysis for panel surveys using STATA

A practical guide to survival data analysis for panel surveys using STATA

When and how to undertake a survival or transition data analysis

This paper gives a brief introduction to the topic of survival analysis and explains how to interpret the output of Cox Proportional Hazard Models in the statistical package STATA.

Survival data analysis is also referred to as Transition Data analysis, Event History Analysis or Duration data analysis. Transition data analysis is used widely in the social sciences to analyse time to events (transitions) such as job changes, marriage, birth of children and so forth.

The guide discusses the uses for, and important issues regarding, this form of analysis, and explains how to input appropriate formulae and interpret outputs. Also included are references to more detailed guides and online tutorials.

The guide demonstrates this analysis using a smaller and slightly modified version of the Khayelitsha Select Panel Study of patients on Highly Active Antiretroviral Therapy. It uses the 'long form' for a panel data set in which data is arranged according to personal identifiers and time.