SUGI 28: Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data

Survival analysis techniques are often used in clinical and epidemiologic research to model time until event data. Using SAS® system's PROC PHREG, Cox regression can be employed to model time until event while simultaneously adjusting for influential covariates and accounting for problems such as attrition, delayed entry, and temporal biases. Furthermore, by extending the techniques for single event modeling, the researcher can model time until multiple events. In this real data example, PROC PHREG with the baseline option was instrumental in handling attrition of subjects over a long study period and producing probability of hospitalization curves as a function of time. In this paper, the reader will gain insight into survival analysis techniques used to model time until single and multiple hospitalizations using PROC PHREG and tools available through SAS®