Cure Models: Methods, Applications, and Implementation

Name: Cure Models: Methods, Applications, and Implementation
Brand: Taylor & Francis
SKU: 9780367145576
Price: 9636.0 INR
Availability: InStock

by Yingwei Peng

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ISBN13: 9780367145576
Binding: Hardcover
Subject: N/A
Publisher: Taylor & Francis
Publisher Imprint: CRC Press
Publication Date: March 23, 2021
Pages: 268
Original Price: GBP 115.0
Language: English
Edition: N/A
Item Weight: 550 grams
BISAC Subject(s): Probability & Statistics / General and Biostatistics

About The Book

Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, and software. This book is useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications. The prerequisites of this book include some basic knowledge of statistical modeling, survival models, and R and SAS for data analysis.

The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. The main topics covered include

the foundation of statistical estimation and inference of cure models for independent and right-censored survival data,

cure modeling for multivariate, recurrent-event, and competing-risks survival data, and joint modeling with longitudinal data,

statistical testing for the existence and difference of cure rates and sufficient follow-up,

new developments in Bayesian cure models,

applications of cure models in public health research and clinical trials.

About The Author

Yingwei Peng is Professor of Biostatistics in the Departments of Public Health Sciences and Mathematics and Statistics at Queen's University and a senior Biostatistician at Queen's Cancer Research Institute. He has been an Associate Editor of Canadian Journal of Statistics since 2010 and provided referee services to all mainstream statistical journals and Canadian federal funding agencies (NSERC and CIHR). He offered short courses on cure models, either by himself or with Jeremy Taylor (University of Michigan, USA), in Joint Statistical Meetings, ENAR Spring Meeting, and Université catholique de Louvain, Belgium, in 2014. Binbing Yu is an Associate Director in the AstraZeneca oncology biometric group. He has extensive experience in the applications of cure models in public health, clinical trials and health economics and made notable contributions to the development and enhancement of cure modeling for the presentation and analysis of cancer survival data for the USA National Cancer Institute.

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