Analysis for time-to-event data under censoring and truncation (Q2825286)

The aim of the present book is to give an overview of recent developments in surviving analysis under truncation, especially for bivariate survival analysis. In Chapter 1 (Introduction), a brief review of survival analysis under truncation and preliminaries are treated. Chapter 2 (Survival analysis for univariate truncated data) is devoted to nonparametric estimation, linear rank statistics, regression analysis for truncated and censored data. Chapter 3 (Bivariate estimation with truncated survival data) deals among others with types of bivariate truncated survival data, the inverse probability weighted estimator with only one censoring variable, transformation estimator, polar coordinate data transformation, etc. Chapter 4 (Accelerated failure time model for truncated and censored survival data) aims to investigate accelerated failure time model, weighted least squares, left-truncated and right-censored data models. In Chapter 5 (Recent advances for truncated survival data), linear transformation models, joint modeling of survival events and longitudinal data under random truncation are treated. The book is recommended to help statisticians, epidemiologists, medical researchers, and actuaries who need to understand the mechanism of selection bias.