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Joint Models for Longitudinal and Time-to-Event Data
With Applications in R
Udgivet af Taylor & Francis Ltd
ISBN
9781032477565
Om denne bog
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 Longitudin…
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Bogdetaljer
Forfatter
Dimitris Rizopoulos
Forlag
Taylor & Francis Ltd
Kategori
Medicinsk forskning
ISBN-13
9781032477565
EAN
9781032477565
Format
Hæftet
Sprog
Engelsk
sider
278
Undertitel
- With Applications in R
Produktbeskrivelse
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/
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