Handbook of survival analysis / edited by John P. Klein, Hans C. van Houwelingen, Joseph G. Ibrahim, Thomas Scheike.

Format:

Book

Contributor:

Klein, John P., 1950-2013.

Louis B. Flexner Medical Book Fund.

Series:

Chapman & Hall/CRC handbooks of modern statistical methods

Language:

English

Subjects (All):

Medical sciences--Statistical methods--Computer programs.

Medical sciences.

Survival analysis (Biometry).

Regression analysis--Data processing.

Regression analysis.

Prognosis--Statistical methods.

Prognosis.

Medical sciences--Statistical methods.

Computer programs.

Physical Description:

xvi, 640 pages : illustrations ; 27 cm.

Place of Publication:

Boca Raton, FL : CRC Press, [2014]

Summary:

"This handbook focuses on the analysis of lifetime data arising from the biological and medical sciences. It deals with semiparametric and nonparametric methods. For investigators new to this field, the book provides an overview of the topic along with examples of the methods discussed. It presents both classical methods and modern Bayesian approaches to the analysis of data"-- Provided by publisher.

"Preface This volume examines modern techniques and research problems in the analysis of life time data analysis. This area of statistics deals with time to event data which is complicated not only by the dynamic nature of events occurring in time but by censoring where some events are not observed directly but rather they are known to fall in some interval or range. Historically survival analysis is one of the oldest areas of statistics dating its origin to classic life table construction begun in the 1600's. Much of the early work in this area involved constructing better life tables and long tedious extensions of non-censored nonparametric estimators. Modern survival analysis began in the late 1980's with pioneering work by Odd Aalen on adapting classical Martingale theory to these more applied problems. Theory based on these counting process martingales made the development of techniques for censored and truncated data in most cases easier and opened the door to both Bayesian and classical statistics for a wide range of problems and applications. In this volume we present a series of papers which provide an introduction to the advances in survival analysis techniques in the past thirty years. These papers can serve four complimentary purposes. First, they provide an introduction to various areas in survival analysis for graduates students and other new researchers to this eld. Second, they provide a reference to more established investigators in this area of modern investigations into survival analysis. Third, with a bit of supplementation on counting process theory this volume is useful as a text for a second or advanced course in survival analysis. We have found that the instructor of such a course can pick and chose papers in areas he/she deem most useful to the"-- Provided by publisher.

Contents:

I Regression Models for Right Censoring

1 Cox Regression Model / Hans C. van Houwelingen Houwelingen, Hans C. van, Theo Stijnen Stijnen, Theo 5

2 Bayesian Analysis of the Cox Model / Joseph G. Ibrahim Ibrahim, Joseph G., Ming-Hui Chen Chen, Ming-Hui, Danjie Zhang Zhang, Danjie, Debajyoti Sinha Sinha, Debajyoti 27

3 Alternatives to the Cox Model / Torben Martinussen Martinussen, Torben, Limin Peng Peng, Limin 49

4 Transformation Models / Danyu Lin Lin, Danyu 77

5 High-Dimensional Regression Models / Jennifer A. Sinnott Sinnott, Jennifer A., Tianxi Cai Cai, Tianxi 93

6 Cure Models / Yingwei Peng Peng, Yingwei, Jeremy M. G. Taylor Taylor, Jeremy M. G. 113

7 Causal Models / Theis Lange Lange, Theis, Naja H. Rod Rod, Naja H. 135

II Competing Risks 153

8 Classical Regression Models for Competing Risks / Jan Beyersmann Beyersmann, Jan, Thomas H. Scheike Scheike, Thomas H. 157

9 Bayesian Regression Models for Competing Risks / Ming-Hui Chen Chen, Ming-Hui, Mário de Castro Castro, Mário de, Miaomiao Ge Ge, Miaomiao, Yuanye Zhang Zhang, Yuanye 179

10 Pseudo-Value Regression Models / Brent R. Logan Logan, Brent R., Tao Wang Wang, Tao 199

11 Binomial Regression Models / Randi Grøn Grøn, Randi, Thomas A. Gerds Gerds, Thomas A. 221

12 Regression Models in Bone Marrow Transplantation - A Case Study / Mei-Jie Zhang Zhang, Mei-Jie, Marcelo C. Pasquini Pasquini, Marcelo C., Kwang Woo Ahn Ahn, Kwang Woo 243

III Model Selection and Validation 263

13 Classical Model Selection / Florence H. Yong Yong, Florence H., Tianxi Cai Cai, Tianxi, L.J. Wei Wei, L.J., Lu Tian Tian, Lu 265

14 Bayesian Model Selection / Purushottam W. Laud Laud, Purushottam W. 285

15 Model Selection for High-Dimensional Models / Rosa J. Meijer Meijer, Rosa J., Jelle J. Goeman Goeman, Jelle J. 301

16 Robustness of Proportional Hazards Regression / John O'Quigley O'Quigley, John, Ronghui Xu Xu, Ronghui 323

IV Other Censoring Schemes 341

17 Nested Case-Control and Case-Cohort Studies / Ørnulf Borgan Borgan, Ørnulf, Sven Ove Samuelsen Samuelsen, Sven Ove 343

18 Interval Censoring / Jianguo Sun Sun, Jianguo, Junlong Li Li, Junlong 369

19 Current Status Data: An Illustration with Data on Avalanche Victims / Nicholas P. Jewell Jewell, Nicholas P., Ruth Emerson Emerson, Ruth 391

V Multivariate/Multistate Models 413

20 Multistate Models / Per Kragh Andersen Andersen, Per Kragh, Maja Pohar Perme Perme, Maja Pohar 417

21 Landmarking / Hein Putter Putter, Hein 441

22 Frailty Models / Philip Hougaard Hougaard, Philip 457

23 Bayesian Analysis of Frailty Models / Paul Gustafson Gustafson, Paul 475

24 Copula Models / Joanna H. Shih Shih, Joanna H. 489

25 Clustered Competing Risks / Guoqing Diao Diao, Guoqing, Donglin Zeng Zeng, Donglin 511

26 Joint Models of Longitudinal and Survival Data / Wen Ye Ye, Wen, Menggang Yu Yu, Menggang 523

27 Familial Studies / Karen Bandeen-Roche Bandeen-Roche, Karen 549

VI Clinical Trials 569

28 Sample Size Calculations for Clinical Trials / Kristin Ohneberg Ohneberg, Kristin, Martin Schumacher Schumacher, Martin 571

29 Group Sequential Designs for Survival Data / Chris Jennison Jennison, Chris, Bruce Turnbull Turnbull, Bruce 595

30 Inference for Paired Survival Data / Jennifer Le-Rademacher Le-Rademacher, Jennifer, Ruta Brazauskas Brazauskas, Ruta 615.

Notes:

Includes bibliographical references and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Louis B. Flexner Medical Book Fund.

ISBN:

1466555661

9781466555662

OCLC:

778426511

Publisher Number:

99956157373