Joint Models for Longitudinal and Time to Event Data is popular PDF and ePub book, written by Dimitris Rizopoulos in 2012-06-22, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Joint Models for Longitudinal and Time to Event Data can be Read Online from any device for your convenience.
Joint Models for Longitudinal and Time to Event Data Book PDF Summary
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. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R 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. All the R code used in the book is available at: http://jmr.r-forge.r-project.org/
Detail Book of Joint Models for Longitudinal and Time to Event Data PDF
- Author : Dimitris Rizopoulos
- Release : 22 June 2012
- Publisher : CRC Press
- ISBN : 9781439872864
- Genre : Mathematics
- Total Page : 279 pages
- Language : English
- PDF File Size : 20,7 Mb
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