Survival Analysis in Medicine and Genetics
Jialiang Li author Shuangge Ma author
Format:Paperback
Publisher:Taylor & Francis Ltd
Published:21st Jan '23
Currently unavailable, and unfortunately no date known when it will be back
This paperback is available in another edition too:
- Hardback£145.99(9781439893111)
Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields.
The text mainly addresses special concerns of the survival model. After covering the fundamentals, it discusses interval censoring, nonparametric and semiparametric hazard regression, multivariate survival data analysis, the sub-distribution method for competing risks data, the cure rate model, and Bayesian inference methods. The authors then focus on time-dependent diagnostic medicine and high-dimensional genetic data analysis. Many of the methods are illustrated with clinical examples.
Emphasizing the applications of survival analysis techniques in genetics, this book presents a statistical framework for burgeoning research in this area and offers a set of established approaches for statistical analysis. It reveals a new way of looking at how predictors are associated with censored survival time and extracts novel statistical genetic methods for censored survival time outcome from the vast amount of research results in genomics.
". . . this book contains an excellent theoretical coverage of interval censored data, and deals with other topics relevant for survival analysis in a comprehensive but summarized way."
—Victor Moreno, International Society for Clinical Biostatistics
"This book provides a new outlook on survival analysis methods by emphasizing the application of the statistical methods for biological and genetic problems. … this book covers several important and specific topics, which have been rarely covered in other conventional survival textbooks. Throughout this book, many advanced statistical methods are well specified so that biostatisticians and researchers in the fields of medicine and genetics can easily understand and apply these methods to complicated survival data with high-dimensional covariates."
—Seungyeoun Lee, Biometrics
"The great strength of the book lies in its comprehensive treatment of both classical and novel methods, covering almost all aspects of survival analysis that biostatisticians are confronted with in everyday practice. The text is very well organised, and both writing style and notation are remarkably homogeneous. The readers will appreciate the inclusion of clinical studies as applications in the book."
—P. G. Sankaran, Cochin University of Science and Technology
". . . this book contains an excellent theoretical coverage of interval censored data, and deals with other topics relevant for survival analysis in a comprehensive but summarized way."
—Victor Moreno, International Society for Clinical Biostatistics
"This book provides a new outlook on survival analysis methods by emphasizing the application of the statistical methods for biological and genetic problems. … this book covers several important and specific topics, which have been rarely covered in other conventional survival textbooks. Throughout this book, many advanced statistical methods are well specified so that biostatisticians and researchers in the fields of medicine and genetics can easily understand and apply these methods to complicated survival data with high-dimensional covariates."
—Seungyeoun Lee, Biometrics
"The great strength of the book lies in its comprehensive treatment of both classical and novel methods, covering almost all aspects of survival analysis that biostatisticians are confronted with in everyday practice. The text is very well organised, and both writing style and notation are remarkably homogeneous. The readers will appreciate the inclusion of clinical studies as applications in the book."
—P. G. Sankaran, Cochin University of Science and Technology
ISBN: 9781032477480
Dimensions: unknown
Weight: 420g
382 pages