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Bayesian Survival Analysis

Posted By: AvaxGenius
Bayesian Survival Analysis

Bayesian Survival Analysis by Joseph G. Ibrahim , Ming-Hui Chen , Debajyoti Sinha
English | PDF | 2001 | 494 Pages | ISBN : 0387952772 | 43.6 MB

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis.

Emerging Topics in Modeling Interval-Censored Survival Data

Posted By: AvaxGenius
Emerging Topics in Modeling Interval-Censored Survival Data

Emerging Topics in Modeling Interval-Censored Survival Data by Jianguo Sun, Ding-Geng Chen
English | PDF,EPUB | 2022 | 322 Pages | ISBN : 3031123654 | 25.9 MB

This book primarily aims to discuss emerging topics in statistical methods and to booster research, education, and training to advance statistical modeling on interval-censored survival data. Commonly collected from public health and biomedical research, among other sources, interval-censored survival data can easily be mistaken for typical right-censored survival data, which can result in erroneous statistical inference due to the complexity of this type of data.

Recursive Partitioning and Applications

Posted By: AvaxGenius
Recursive Partitioning and Applications

Recursive Partitioning and Applications by Heping Zhang
English | PDF(True) | 2010 | 267 Pages | ISBN : 1441968237 | 3.2 MB

The routes to many important outcomes including diseases and ultimately death as well as financial credit consist of multiple complex pathways containing interrelated events and conditions. We have historically lacked effective methodologies for identifying these pathways and their non-linear and interacting features. This book focuses on recursive partitioning strategies as a response to the challenge of pathway characterization.

Survival Analysis: A Self-Learning Text, Third Edition (Repost)

Posted By: AvaxGenius
Survival Analysis: A Self-Learning Text, Third Edition (Repost)

Survival Analysis: A Self-Learning Text, Third Edition By David G. Kleinbaum
English | PDF | 2012 | 712 Pages | ISBN : 1441966455 | 14.3 MB

This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis.