» » Joint Models for Longitudinal and Time-to-Event Data With Applications in R
uploaded.to



Information of news
  • Author: Alexandr
  • Date: 3-02-2016, 00:11
3-02-2016, 00:11

Joint Models for Longitudinal and Time-to-Event Data With Applications in R

Category: E-Books

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
2012 | 275 Pages | ISBN: 1439872864 | 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. provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author.








DOWNLOAD
(Buy premium account for maximum speed and resumming ability)


uploaded


Rapidgator.net

Site BBcode/HTML Code:
Dear visitor, you went to the site as unregistered user.
We recommend you Sign up or Login to website under your name.
Information
Would you like to leave your comment? Please Login to your account to leave comments. Don't have an account? You can create a free account now.

Tag Cloud

archive of news

^
 
free html hit counter