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Using latent outcome trajectory classes in causal inference

In longitudinal studies, outcome trajectories can provide important information about substantively and clinically meaningful underlying subpopulations who may also respond differently to treatments or interventions. Growth mixture analysis is an efficient way of identifying heterogeneous trajectory...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Jo, Booil, Wang, Chen-Pin, Ialongo, Nicholas S.
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2009
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2863041/
https://ncbi.nlm.nih.gov/pubmed/20445809
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