Survival Analysis: Techniques for Censored and Truncated Data

✍ Scribed by John P. Klein, Melvin L. Moeschberger (auth.)

Publisher: Springer New York
Year: 1997
Tongue: English
Leaves: 508
Series: Statistics for Biology and Health
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Front Matter....Pages i-xiv
Examples of Survival Data....Pages 1-20
Basic Quantities and Models....Pages 21-53
Censoring and Truncation....Pages 55-82
Nonparametric Estimation of Basic Quantities for Right-Censored and Left-Truncated Data....Pages 83-124
Estimation of Basic Quantities for Other Sampling Schemes....Pages 125-150
Topics in Univariate Estimation....Pages 151-186
Hypothesis Testing....Pages 187-227
Semiparametric Proportional Hazards Regression with Fixed Covariates....Pages 229-268
Refinements of the Semiparametric Proportional Hazards Model....Pages 269-303
Additive Hazards Regression Models....Pages 305-326
Regression Diagnostics....Pages 327-371
Inference for Parametric Regression Models....Pages 373-403
Multivariate Survival Analysis....Pages 405-421
Back Matter....Pages 423-502

✦ Subjects

Statistics for Life Sciences, Medicine, Health Sciences

📜 SIMILAR VOLUMES

Survival analysis: Techniques for censor

📁 Survival analysis: Techniques for censored and truncated data

✍ John P. Klein, Melvin L. Moeschberger 📂 Library 📅 2003 🏛 Springer 🌐 English

Survival Analysis: Techniques for Censor

📁 Survival Analysis: Techniques for Censored and Truncated Data

✍ John P. Klein, Melvin L. Moeschberger 📂 Library 📅 2005 🏛 Springer 🌐 English

Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques

Analysis for Time-to-Event Data under Ce

📁 Analysis for Time-to-Event Data under Censoring and Truncation

✍ Hongsheng Dai, Huan Wang 📂 Library 📅 2016 🏛 Academic Press 🌐 English

Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis for truncated data, mainly focusing on the estimation of univariate and bivariate survival function. The most distinguishing feature of survival data is kn

Analysis of Survival Data with Dependent

📁 Analysis of Survival Data with Dependent Censoring

✍ Takeshi Emura, Yi-Hau Chen 📂 Library 📅 2018 🏛 Springer Singapore 🌐 English

This book introduces readers to copula-based statistical methods for analyzing survival data involving dependent censoring. Primarily focusing on likelihood-based methods performed under copula models, it is the first book solely devoted to the problem of dependent censoring.The book de

Data analysis for hyphenated techniques

📁 Data analysis for hyphenated techniques

✍ E.J. Karjalainen and U.P. Karjalainen (Eds.) 📂 Library 📅 1996 🏛 Elsevier Publishing Company 🌐 English

Statistical techniques for data analysis

📁 Statistical techniques for data analysis

✍ John K. Taylor, Cheryl Cihon 📂 Library 📅 2004 🏛 Chapman & Hall/CRC 🌐 English

Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculational reach of even professional statisticians. Today, scientists in every field have access to the t