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Effect modification and non-collapsibility leads to conflicting treatment decisions: a review of marginal and conditional estimands and recommendations for decision-making

Autor: Phillippo, David M., Remiro-Azócar, Antonio, Heath, Anna, Baio, Gianluca, Dias, Sofia, Ades, A. E., Welton, Nicky J.

Effect modification occurs when a covariate alters the relative effectiveness of treatment compared to control. It is widely understood that, when effect modification is present, treatment recommendations may vary by population and by subgroups withi

Externí odkaz: http://arxiv.org/abs/2410.11438

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Mapping between measurement scales in meta-analysis, with application to measures of body mass index in children

Autor: Davies, Annabel L, Ades, A E, Higgins, Julian PT

Quantitative evidence synthesis methods aim to combine data from multiple medical trials to infer relative effects of different interventions. A challenge arises when trials report continuous outcomes on different measurement scales. To include all e

Externí odkaz: http://arxiv.org/abs/2402.18298

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Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis

Autor: Phillippo, David M., Dias, Sofia, Ades, A. E., Welton, Nicky J.

Network meta-analysis combines aggregate data (AgD) from multiple randomised controlled trials, assuming that any effect modifiers are balanced across populations. Individual patient data (IPD) meta-regression is the "gold standard" method to relax t

Externí odkaz: http://arxiv.org/abs/2401.12640

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