Joint Modeling of Longitudinal And Time to Event Data

Joint Modeling of Longitudinal and Time-to-Event Data  eBooks & eLearning

Posted by Underaglassmoon at Nov. 2, 2016
Joint Modeling of Longitudinal and Time-to-Event Data

Joint Modeling of Longitudinal and Time-to-Event Data
Springer | Finite Mathematics | Aug 24 2016 | ISBN-10: 1439807825 | 261 pages | pdf | 13.96 mb

by Robert Elashoff (Author), Gang li (Author), Ning Li (Author)
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R (Repost)

Joint Models for Longitudinal and Time-to-Event Data: With Applications in R By Dimitris Rizopoulos
2012 | 275 Pages | ISBN: 1439872864 | PDF | 3 MB
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R (repost)

Joint Models for Longitudinal and Time-to-Event Data: With Applications in R by Dimitris Rizopoulos
English | 2012 | ISBN: 1439872864 | 275 pages | PDF | 3 MB
Joint Models for Longitudinal and Time-to-Event Data: With Applications in R

Joint Models for Longitudinal and Time-to-Event Data: With Applications in R by Dimitris Rizopoulos
English | 2012 | ISBN: 1439872864 | 275 pages | PDF | 3 MB

In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence.

Interval-Censored Time-to-Event Data: Methods and Applications (Repost)  eBooks & eLearning

Posted by bookwyrm at June 27, 2016
Interval-Censored Time-to-Event Data: Methods and Applications (Repost)

Interval-Censored Time-to-Event Data: Methods and Applications By Ding-Geng (Din) Chen, Jianguo Sun, Karl E. Peace
2013 | 433 Pages | ISBN: 1466504250 | PDF | 3 MB

Modeling Discrete Time-to-Event Data  eBooks & eLearning

Posted by Underaglassmoon at June 19, 2016
Modeling Discrete Time-to-Event Data

Modeling Discrete Time-to-Event Data
Springer | Statistical Theory & Methods | July 16, 2016 | ISBN-10: 3319281569 | 259 pages | pdf | 4.1 mb

Authors: Tutz, Gerhard, Schmid, Matthias
Provides the first comprehensive overview of statistical methods for discrete failure times
Contains numerous examples and exercises that illustrate the presented methods Introduces novel methodology for model selection, nonparametric estimation and model evaluation that is new in the context of discrete failure analysis
Reproducible data through freely available R codes
Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition (repost)

Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition by David W. Hosmer Jr., Stanley Lemeshow, Susanne May
English | 2008 | ISBN: 0471754994 | 416 pages | PDF | 18.5 MB
Interval-Censored Time-to-Event Data: Methods and Applications (Repost)

Interval-Censored Time-to-Event Data: Methods and Applications By Ding-Geng (Din) Chen, Jianguo Sun, Karl E. Peace
2013 | 433 Pages | ISBN: 1466504250 | PDF | 3 MB
Flowgraph Models for Multistate Time-to-Event Data by Aparna V. Huzurbazar [Repost]

Flowgraph Models for Multistate Time-to-Event Data by Aparna V. Huzurbazar
English | Nov 11, 2004 | ISBN: 0471265144 | 293 Pages | PDF | 3 MB

A unique introduction to the innovative methodology of statistical flowgraphs
This book offers a practical, application-based approach to flowgraph models for time-to-event data. It clearly shows how this innovative new methodology can be used to analyze data from semi-Markov processes without prior knowledge of stochastic processes–opening the door to interesting applications in survival analysis and reliability as well as stochastic processes.
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data

Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data: Third International Workshop, STIA 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Paper
Springer | Graphic Design, Web Graphics, Algorithms, Biochemistry, Radiology | Jan. 3 2015 | ISBN-10: 3319149040 | 89 pages | pdf | 10.95 mb

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2014, held in conjunction with MICCAI 2014 in Boston, MA, USA, in September 2014.