Using Group-based Trajectory Models and Propensity Score Weighting to Detect Heterogenous Treatment Effects: The Case Study of Generic Hormonal Therapy for Women With Breast Cancer

BACKGROUND:We extend an interrupted time series study design to identify heterogenous treatment effects using group-based trajectory models (GBTM) to identify groups before a new policy and then examine if the effects of the policy has consistent impacts across groups using propensity score weightin...

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Veröffentlicht in:Medical care 2018-11
Hauptverfasser: Winn, Aaron N, Fergestrom, Nicole M, Neuner, Joan M
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
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