Joint modeling of cross‐sectional health outcomes and longitudinal predictors via mixtures of means and variances

DOI10.1111/biom.12284zbMath1390.62274OpenAlexW1956723330WikidataQ35779597 ScholiaQ35779597MaRDI QIDQ3459949

Michael R. Elliott, Bei Jiang, Mary D. Sammel, Naisyin Wang

Publication date: 11 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4480207

zbMATH Keywords

predictive performancejoint modelmodel misspecificationlatent classlong-term trendshared random effects and variancesshort-term variability

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Paired and multiple comparisons; multiple testing (62J15)

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Uses Software

• ROCR

Cites Work

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