Uncertainty and heterogeneity in network meta-analysis with small subgroups and few studies (C02)

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We will develop a framework to explore subgroup treatment effects and treatment effects conditional on post-randomization characteristics in individual patient data network meta-analysis of small data. This will provide methods to 1) identify patient characteristics with strong predictive properties regarding the outcome of interest 2) estimate treatment effects within the selected subgroups, with a focus on quantifying uncertainty and heterogeneity, and 3) provide recommendations for adding data via new studies.