A graphical approach to assess the goodness-of-fit of random-effects linear models when the goal is to measure individual benefits of medical treatments in severely ill patients

A graphical approach to assess the goodness-of-fit of random-effects linear models when the goal is to measure individual benefits of medical treatments in severely ill patients

Abstract Background Two-dimensional personalized medicine (2-PM) models are tools for measuring individual benefits of medical treatments for chronic diseases which have potential applications in personalized medicine. These models assume normality for the distribution of random effects. It is neces...

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Bibliographic Details
Main Authors: Zhiwen Wang, Francisco J. Diaz
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Research Methodology
Subjects:
Chronic diseases
Cramer-von Mises discrepancy
Disease severity
Empirical Bayes
Goodness-of-fit
Individual treatment benefits
Online Access:http://link.springer.com/article/10.1186/s12874-020-01054-3

Internet

http://link.springer.com/article/10.1186/s12874-020-01054-3

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