Msms, or multiple sensitivity models, refers to a statistical framework that evaluates the effects of treatment or interventions across different groups by allowing for variations in treatment effects. This concept is crucial in understanding how treatment impacts can differ based on individual characteristics or circumstances, emphasizing the need to assess conditional average treatment effects in various contexts to provide more nuanced insights.
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