A framework is proposed to integrate estimands into meta-analyses of clinical trials to identify sources of heterogeneity from intercurrent event strategies and improve the external validity of pooled estimates for health technology assessment.
target estimands for population-adjusted indirect comparisons
2 Pith papers cite this work. Polarity classification is still indexing.
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Non-collapsible marginal effect measures depend on joint distributions of effect modifiers and prognostic variables, so unadjusted anchored indirect comparisons can be biased even without individual-level treatment effect heterogeneity.
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Incorporating estimands into meta-analyses of clinical trials
A framework is proposed to integrate estimands into meta-analyses of clinical trials to identify sources of heterogeneity from intercurrent event strategies and improve the external validity of pooled estimates for health technology assessment.
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Transportability of model-based estimands in evidence synthesis
Non-collapsible marginal effect measures depend on joint distributions of effect modifiers and prognostic variables, so unadjusted anchored indirect comparisons can be biased even without individual-level treatment effect heterogeneity.