6 citations · 11 across the 4 of their papers we have counts for
6 papers
Does your cost-effectiveness model answer the question of interest? Marginal versus conditional inputs and transportability across populations
Jeroen P. Jansen, Harlan Campbell, Shannon Cope +2
Objectives: There has been increased appreciation of the differences between marginal and conditional estimates and different types of effect measures regarding their applicability…
Incorporating estimands into meta-analyses of clinical trials
Antonio Remiro-Azócar, Pepa Polavieja, Emmanuelle Boutmy +9
The estimand framework is increasingly established to pose research questions in confirmatory clinical trials. In evidence synthesis, the uptake of estimands has been modest, and t…
Network Meta-Analysis of survival outcomes with non-proportional hazards using flexible M-splines
David M. Phillippo, Ayman Sadek, Hugo Pedder +1
Network meta-analysis (NMA) is widely used in healthcare decision-making, where estimates of the effect of multiple treatments on outcomes are required. For time-to-event outcomes…
Marginal and conditional summary measures: transportability and compatibility across studies
Antonio Remiro-Azócar, David M. Phillippo, Nicky J. Welton +4
Marginal and conditional summary measures do not generally coincide, have different interpretations and correspond to different decision questions. While these aspects have primari…
Effect modification and non-collapsibility leads to conflicting treatment decisions: a review of marginal and conditional estimands and recommendations for decision-making
David M. Phillippo, Antonio Remiro-Azócar, Anna Heath +4
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, t…
Multilevel network meta-regression for general likelihoods: synthesis of individual and aggregate data with applications to survival analysis
David M. Phillippo, Sofia Dias, A. E. Ades +1
Network meta-analysis combines aggregate data (AgD) from multiple randomised controlled trials, assuming that any effect modifiers are balanced across populations. Individual patie…