This book deals with the development of methodology for the analysis of truncated and censored sample data. It is primarily intended as a handbook for practitio

This book provides an introduction to the regression models needed, where an outcome variable for a sample is not representative of the population from which a

Making complex methods more accessible to applied researchers without an advanced mathematical background, the authors present the essence of new techniques ava

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes, like deletion or mean imputation, only work under highly restrictive conditions, w