Biostatistics Using JMP

Chapter 13: Survival Analysis

13.1 Introduction

13.2 Life Distributions

13.3 Kaplan-Meier Curves

13.3.1 Simple Survival Analysis

13.3.2 Multiple Groups

13.3.3 Censoring

13.3.4 Proportional Hazards

13.4 References

13.1 Introduction

Survival analysis provides a time-sampled way to compare results through both statistical and visual methods. Monitoring survival time and time-to-event is critical for testing treatments. Events of interest could be deaths, disease progression, a diagnosis, or a failure. For example, considering patient survival, there are generally three outcomes that could happen to a subject: the patient dies (that is, the event), the patient quits the study, and the patient survives the duration of the study (Daniel & Cross, 2013). ...