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Bayesian Survival Analysis

Bayesian Survival Analysis PDF Author: Joseph G. Ibrahim
Publisher: Springer Science & Business Media
ISBN: 1475734476
Category : Medical
Languages : en
Pages : 480
Book Description
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. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

Bayesian Survival Analysis

Bayesian Survival Analysis PDF Author: Joseph G. Ibrahim
Publisher: Springer Science & Business Media
ISBN: 1475734476
Category : Medical
Languages : en
Pages : 480
Book Description
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. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.

Bayesian Survival Analysis

Bayesian Survival Analysis PDF Author: Joseph G. Ibrahim
Publisher:
ISBN: 9781475734485
Category :
Languages : en
Pages : 496
Book Description


Handbook of Survival Analysis

Handbook of Survival Analysis PDF Author: John P. Klein
Publisher: CRC Press
ISBN: 146655567X
Category : Mathematics
Languages : en
Pages : 656
Book Description
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians

Bayesian Survival Analysis

Bayesian Survival Analysis PDF Author: Keith Rowland Abrams
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description


Bayesian Survival Analysis for Prognostic Index Development with Many Covariates and Missing Data

Bayesian Survival Analysis for Prognostic Index Development with Many Covariates and Missing Data PDF Author: Xiaohui Zhao
Publisher:
ISBN:
Category :
Languages : en
Pages : 216
Book Description


Shrinkage Estimation in Nonparametric Bayesian Survival Analysis

Shrinkage Estimation in Nonparametric Bayesian Survival Analysis PDF Author: Kamta Rai
Publisher:
ISBN:
Category : Bayesian statistical decision theory
Languages : en
Pages : 33
Book Description


Survival Analysis: State of the Art

Survival Analysis: State of the Art PDF Author: John P. Klein
Publisher: Springer Science & Business Media
ISBN: 9401579830
Category : Mathematics
Languages : en
Pages : 451
Book Description
Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. In addition to statisticians and biostatisticians, researchers in this area include epidemiologists, reliability engineers, demographers and economists. The economists survival analysis by the name of duration analysis and the analysis of transition data. We attempted to bring together leading researchers, with a common interest in developing methodology in survival analysis, at the NATO Advanced Research Workshop. The research works collected in this volume are based on the presentations at the Workshop. Analysis of survival experiments is complicated by issues of censoring, where only partial observation of an individual's life length is available and left truncation, where individuals enter the study group if their life lengths exceed a given threshold time. Application of the theory of counting processes to survival analysis, as developed by the Scandinavian School, has allowed for substantial advances in the procedures for analyzing such experiments. The increased use of computer intensive solutions to inference problems in survival analysis~ in both the classical and Bayesian settings, is also evident throughout the volume. Several areas of research have received special attention in the volume.

Performance of Piecewise Gamma Baseline Hazard Function in Bayesian Survival Analysis

Performance of Piecewise Gamma Baseline Hazard Function in Bayesian Survival Analysis PDF Author: Siw Chien Yiak
Publisher:
ISBN:
Category :
Languages : en
Pages : 91
Book Description


Bayesian Survival Analysis with Missing Data Using Integrated Nested Laplace Approximation

Bayesian Survival Analysis with Missing Data Using Integrated Nested Laplace Approximation PDF Author: Muhammad Irfan bin Abdul Jalal
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description


Survival Analysis in Medicine and Genetics

Survival Analysis in Medicine and Genetics PDF Author: Jialiang Li
Publisher: CRC Press
ISBN: 143989311X
Category : Mathematics
Languages : en
Pages : 381
Book Description
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.