Dörre A., Emura T. Analysis of Doubly Truncated Data: An Introduction

Singapore: Springer, 2019. — 123 p.This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods. These procedures can be used to effectively analyze continuous data, especially survival data arising in biostatistics and economics. Because truncation is a phenomenon that is often encountered in non-experimental studies, the methods presented here can be applied to many branches of science. The book provides R codes for most of the statistical methods, to help readers analyze their data. Given its scope, the book is ideally suited as a textbook for students of statistics, mathematics, econometrics, and other fields.Introduction to Double-Truncation
Parametric Estimation Under Exponential Family
Bayesian Inference for Doubly Truncated Data
Nonparametric Inference for Double-Truncation
Linear Regression Under Random Double-Truncation