ABSTRACT
This chapter presents the reader to the basic concepts in survival analysis. It provides the reader with the data sets that serve to illustrate the theoretical concepts. The chapter presents a brief introduction to Rko with a focus on how censoring is dealt with and the Rko package icensBKL. It follows an initiation to how the statistical analysis software (SAS) is used for the analysis of interval-censored observations. The chapter discusses the Bayesian software packages, such as OpenBUGS, WinBUGS, and JAGS, along with the Bayesian treatment of interval censoring. A typical feature of survival data is the fact that the time to an event is not always observed accurately and observations are subject to censoring. In addition to censoring, also truncation may occur. Truncation of survival data occurs when only those subjects whose event time lies within a certain observational window are included in the study.
