Time to Event Data

We provide a mathematical introduction to the analysis of time-to-event outcomes subject to right censoring

Daniel Scharfstein; Yuxin Zhu; Anastasios Tsiatis

2021

Key concepts

Scholarcy highlights

  • We provide a mathematical introduction to the analysis of time-to-event outcomes subject to right censoring
  • This chapter provides a mathematical introduction to the analysis of time-to-event outcomes subject to right censoring. It discusses the so-called “one-sample” problem, which is focused on inference about the distribution of the time-to-event based on a single sample of data and the so-called “two-sample” problem which is focused on testing whether the distributions of the time to event is equal between independent samples of data
  • The chapter discusses the Cox regression model, with both time-independent and time-varying covariates

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