Survival Analysis R

Applied Survival Analysis Using R  eBooks & eLearning

Posted by arundhati at July 21, 2016
Applied Survival Analysis Using R

Dirk F. Moore, "Applied Survival Analysis Using R"
2016 | ISBN-10: 331931243X | 240 pages | PDF | 3 MB

Counting Processes and Survival Analysis, 2nd Edition  eBooks & eLearning

Posted by fdts at Dec. 5, 2015
Counting Processes and Survival Analysis, 2nd Edition

Counting Processes and Survival Analysis, 2nd Edition
by Thomas R. Fleming, David P. Harrington
English | 2013 | ISBN: 0471769886 | 448 pages | DJVU | 17.03 MB
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis

Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis (2nd edition) By Jr. Frank E. Harrell
2015 | 610 Pages | ISBN: 3319194240 | PDF | 8 MB

Empirical Likelihood Method in Survival Analysis  eBooks & eLearning

Posted by arundhati at July 22, 2015
Empirical Likelihood Method in Survival Analysis

Mai Zhou, "Empirical Likelihood Method in Survival Analysis"
2015 | ISBN-10: 1466554924 | 220 pages | PDF | 4 MB

Multivariate Survival Analysis and Competing Risks [Repost]  eBooks & eLearning

Posted by ChrisRedfield at April 22, 2015
Multivariate Survival Analysis and Competing Risks [Repost]

Martin J. Crowder - Multivariate Survival Analysis and Competing Risks
Published: 2012-04-17 | ISBN: 1439875219 | PDF | 418 pages | 6 MB

Survival Analysis Using S: Analysis of Time-to-Event Data (repost)  eBooks & eLearning

Posted by interes at Feb. 24, 2015
Survival Analysis Using S: Analysis of Time-to-Event Data (repost)

Survival Analysis Using S: Analysis of Time-to-Event Data by Mara Tableman, Jong Sung Kim
English | 2003 | ISBN: 1584884088 | PDF | 280 pages | 1,9 MB

Survival Analysis: A Self-Learning Text, Third Edition (repost)  eBooks & eLearning

Posted by libr at Sept. 13, 2014
Survival Analysis: A Self-Learning Text, Third Edition (repost)

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health) by David G. Kleinbaum and Mitchel Klein
English | ISBN: 1441966455 | 2011 | 715 pages | PDF | 4 MB

This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis.

Multivariate Survival Analysis and Competing Risks (repost)  eBooks & eLearning

Posted by arundhati at April 29, 2014
Multivariate Survival Analysis and Competing Risks (repost)

Martin J. Crowder, "Multivariate Survival Analysis and Competing Risks"
2012 | ISBN: 1439875219 | 417 pages | PDF | 7 MB

Survival Analysis: A Self-Learning Text, Third Edition (repost)  eBooks & eLearning

Posted by interes at April 4, 2014
Survival Analysis: A Self-Learning Text, Third Edition (repost)

Survival Analysis: A Self-Learning Text, Third Edition (Statistics for Biology and Health) by David G. Kleinbaum and Mitchel Klein
English | ISBN: 1441966455 | 2011 | 715 pages | PDF | 4 MB

This greatly expanded third edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as well as statisticians in academia who teach introductory and second-level courses on survival analysis.

Survival Analysis Using S: Analysis of Time-to-Event Data (repost)  eBooks & eLearning

Posted by interes at Jan. 18, 2014
Survival Analysis Using S: Analysis of Time-to-Event Data (repost)

Survival Analysis Using S: Analysis of Time-to-Event Data by Mara Tableman, Jong Sung Kim
English | 2003 | ISBN: 1584884088 | PDF | 280 pages | 1,9 MB

Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology.