Posted by **Underaglassmoon** at Nov. 2, 2016

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)

Posted by **insetes** at Jan. 13, 2016

2012 | 275 Pages | ISBN: 1439872864 | PDF | 3 MB

Posted by **libr** at Oct. 23, 2015

English | 2012 | ISBN: 1439872864 | 275 pages | PDF | 3 MB

Posted by **interes** at Oct. 23, 2013

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.

Posted by **bookwyrm** at June 27, 2016

2013 | 433 Pages | ISBN: 1466504250 | PDF | 3 MB

Posted by **Underaglassmoon** at June 19, 2016

Springer | Statistical Theory & Methods | July 16, 2016 | ISBN-10: 3319281569 | 259 pages | pdf | 4.1 mb

Authors: Tutz, Gerhard, Schmid, Matthias

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

Posted by **interes** at Oct. 20, 2015

English | 2008 | ISBN: 0471754994 | 416 pages | PDF | 18.5 MB

Posted by **happy4all** at May 18, 2015

2013 | 433 Pages | ISBN: 1466504250 | PDF | 3 MB

Posted by **BUGSY** at May 1, 2015

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.

Posted by **Underaglassmoon** at March 13, 2015

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.