Multivariate analysis of longitudinal rates of change
Author:
Affiliation:
1. Department of Biostatistics and Epidemiology; University of Pennsylvania; 6th Floor, Blockley Hall, 423 Guardian Dr Philadelphia 19104 PA U.S.A.
2. Department of Biostatistics; University of Washington; Box 357232 Seattle 98195 WA U.S.A.
Funder
National Institutes of Health
International Maternal Pediatric Adolescent AIDS Clinical Trials (IMPAACT) Group
National Institute of Allergy and Infectious Diseases of the NIH
Publisher
Wiley
Subject
Statistics and Probability,Epidemiology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.7035/fullpdf
Reference19 articles.
1. Latent variable models for longitudinal data with multiple continuous outcomes;Roy;Biometrics,2000
2. A nonlinear latent class model for joint analysis of multivariate longitudinal data and a binary outcome;Proust-Lima;Statistics in Medicine,2007
3. Estimating a treatment effect from multidimensional longitudinal data;Gray;Biometrics,1998
4. The analysis of multivariate longitudinal data: a review;Verbeke;Statistical Methods in Medical Research,2014
5. Multidimensional longitudinal data: estimating a treatment effect from continuous, discrete, or time-to-event response variables;Gray;Journal of the American Statistical Association,2000
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1. A comparison of approaches for simultaneous inference of fixed effects for multiple outcomes using linear mixed models;Statistics in Medicine;2018-04-17
2. Using empirical Bayes predictors from generalized linear mixed models to test and visualize associations among longitudinal outcomes;Statistical Methods in Medical Research;2018-02-28
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