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  "Title": "Model-Averaged Propensity Scores Selected by Prognostic-Score\nBalance",
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  "Description": "Constructs a model-averaged propensity score as a convex\ncombination of candidate propensity score models, with mixing\nweights selected on a simplex grid to optimize covariate or\nprognostic-score balance, implementing the method of Kabata,\nStuart and Shintani (2024) <doi:10.1186/s12874-024-02350-y>.\nPrognostic scores follow Hansen (2008)\n<doi:10.1093/biomet/asn004>: outcome models are fit on\nuntreated units only. The resulting score is designed to be\nsupplied directly to the matchit() function of 'MatchIt' as a\ndistance measure or to the weightit() function of 'WeightIt' as\na propensity score, with balance assessment via 'cobalt'.",
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