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 |
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Format: | Artikel |
Sprache: | eng |
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