Mastering the Analysis of Doubly Truncated Data: A Comprehensive Guide

Uncover the latest statistical methods for analyzing doubly truncated data with The Statistical Analysis of Doubly Truncated Data, a thorough and authoritative review of existing techniques.

A Challenging Problem, Expertly Addressed

In this groundbreaking book, a team of renowned statisticians delve into the complexities of doubly truncated data, providing readers with a robust understanding of the subject.

Practical Applications and Real-World Examples

The book includes extensive examples with R code, as well as real-world data from astronomy, engineering, and the biomedical sciences. This ensures that readers can effectively apply the methods described to their own work.

Key Topics Covered

• Linear regression models for doubly truncated responses
• The influence of bandwidth on the performance of kernel-type estimators
• Guidelines for selecting the optimal smoothing parameter
• Fully nonparametric and semiparametric estimators, illustrated with real data

R code is provided for reproducing the data examples, allowing readers to work through the methods step-by-step.

Ideal for Statistical Professionals and Researchers

This book is an essential resource for:

• Statistical professionals with a background in mathematical statistics
• Biostatisticians
• Mathematicians interested in survival analysis and epidemiology
• Biomedical scientists and practitioners
• Postgraduate students studying survival analysis

Published by Wiley on November 2, 2021, this book is a valuable addition to any library, providing a comprehensive and authoritative guide to the analysis of doubly truncated data.

ISBN: 9781119951377, 9781119500483