Analysis of Doubly Truncated Data
An Introduction
Buch in deiner Nähe kaufen
Beschreibung
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.
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.
Serves as an accessible introductory textbook on the analysis of doubly truncated data for students of statistics, mathematics, and econometrics Provides illustrative examples from biostatistics, economics, and other fields, with R codes to help readers analyze their data Presents clearer and more detailed explanations than those found in most journal papers
Autor*in
Achim Dörre
Themen in »Analysis of Doubly Truncated Data«
Survival Analysis Left-truncation Double-truncation Lifetime Distribution Biased Sampling Exponential Family Maximum Likelihood Estimation
Stimmen zu »Analysis of Doubly Truncated Data«
“The aim of this book is to provide some fundamental ideas and methodologies for analysing doubly truncated data. ... The methodology of this book could be helpful to avoid a systematic bias in the contents of data due to loss of information.” (Nikita E. Ratanov, zbMATH 1434.62008, 2020)
()