Handbook of survival analysis

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... 1:FBME_L	32050000000687	R853.S7 H36 2013	Open Access Book	Book	Searching... Unknown
Searching... MJIIT Library	33000000009029	R853 .S7 H36 2013	Open Access Book	Book	Searching... Unknown

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

Author Notes

John P. Klein is a professor and director of the Division of Biostatistics at the Medical College of Wisconsin.
Hans C. van Houwelingen retired: from Leiden University Medical Center in 2009 and was appointed Knight in the Order of the Dutch Lion.
Joseph G. Ibrahim is an alumni distinguished professor or biostatistics at the University of North Carolina, Chapel Hill, where he directs the Center for Innovative Clinical Trials.
Thomas H. Scheike is a professor in the Department of Biostatistics at the University of Copenhagen.

Hans C. van Houwelingen and Theo StijnenJoseph G. Ibrahim and Ming-Hui Chen and Danjie Zhang and Debajyoti SinhaTorben Martinussen and Limin PengDanyu LinJennifer A. Sinnott and Tianxi CaiYingwei Peng and Jeremy M. G. TaylorTheis Lange and Naja H. RodJan Beyersmann and Thomas H. ScheikeMing-Hui Chen and Mário de Castro and Miaomiao Ge and Yuanye ZhangBrent R. Logan and Tao WangRandi Grøn and Thomas A. GerdsMei-Jie Zhang and Marcelo C. Pasquini and Kwang Woo AhnFlorence H. Yong and Tianxi Cai and L.J. Wei and Lu TianPurushottam W. LaudRosa J. Meijer and Jelle J. GoemanJohn O'Quigley and Ronghui XuØrnulf Borgan and Sven Ove SamuelsenJianguo Sun and Junlong LiNicholas P. Jewell and Ruth EmersonPer Kragh Andersen and Maja Pohar PermeHein PutterPhilip HougaardPaul GustafsonJoanna H. ShihGuoqing Diao and Donglin ZengWen Ye and Menggang YuKaren Bandeen-RocheKristin Ohneberg and Martin SchumacherChris Jennison and Bruce TurnbullJennifer Le-Rademacher and Ruta Brazauskas

Preface	p. ix
About the Editors	p. xi
List of Contributors	p. xiii
I Regression Models for Right Censoring
1 Cox Regression Model	p. 5
2 Bayesian Analysis of the Cox Model	p. 27
3 Alternatives to the Cox Model	p. 49
4 Transformation Models	p. 77
5 High-Dimensional Regression Models	p. 93
6 Cure Models	p. 113
7 Causal Models	p. 135
II Competing Risks	p. 153
8 Classical Regression Models for Competing Risks	p. 157
9 Bayesian Regression Models for Competing Risks	p. 179
10 Pseudo-Value Regression Models	p. 199
11 Binomial Regression Models	p. 221
12 Regression Models in Bone Marrow Transplantation - A Case Study	p. 243
III Model Selection and Validation	p. 263
13 Classical Model Selection	p. 265
14 Bayesian Model Selection	p. 285
15 Model Selection for High-Dimensional Models	p. 301
16 Robustness of Proportional Hazards Regression	p. 323
IV Other Censoring Schemes	p. 341
17 Nested Case-Control and Case-Cohort Studies	p. 343
18 Interval Censoring	p. 369
19 Current Status Data: An Illustration with Data on Avalanche Victims	p. 391
V Multivariate/Multistate Models	p. 413
20 Multistate Models	p. 417
21 Landmarking	p. 441
22 Frailty Models	p. 457
23 Bayesian Analysis of Frailty Models	p. 475
24 Copula Models	p. 489
25 Clustered Competing Risks	p. 511
26 Joint Models of Longitudinal and Survival Data	p. 523
27 Familial Studies	p. 549
VI Clinical Trials	p. 569
28 Sample Size Calculations for Clinical Trials	p. 571
29 Group Sequential Designs for Survival Data	p. 595
30 Inference for Paired Survival Data	p. 615
Index	p. 633

Available:*

On Order

Summary

Summary

Author Notes

Table of Contents