Proportional constrained longitudinal data analysis models for clinical trials in sporadic Alzheimer's disease

Abstract Introduction Clinical trials for sporadic Alzheimer's disease generally use mixed models for repeated measures (MMRM) or, to a lesser degree, constrained longitudinal data analysis models (cLDA) as the analysis model with time since baseline as a categorical variable. Inferences using MMRM/...

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Bibliografiset tiedot

Päätekijät:	Guoqiao Wang, Lei Liu, Yan Li, Andrew J. Aschenbrenner, Randall J. Bateman, Paul Delmar, Lon S. Schneider, Richard E. Kennedy, Gary R. Cutter, Chengjie Xiong
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Wiley 2022-01-01
Sarja:	Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Aiheet:	Alzheimer's disease proportional constrained longitudinal data analysis model (PcLDA) MMRM proportional MMRM (pMMRM) proportional treatment effect
Linkit:	https://doi.org/10.1002/trc2.12286
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