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Dimitris Mavridis
Ian R White

Research synthesis methods

Showing results (1-10 of 14) with videos related to

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Research Synthesis Methods|April 17, 2019
Dealing with missing outcome data in meta-analysisDimitris Mavridis, Ian R White
Research Synthesis Methods|January 11, 2016
Detecting outlying studies in meta-regression models using a forward search algorithmDimitris Mavridis, Irini Moustaki, Melanie Wall, et al.
Research Synthesis Methods|October 1, 2022
The importance of plausible data-generating mechanisms in simulation studies: A response to 'Comparing methods for handling missing covariates in meta-regression' by Lee and Beretvas (doi: 10.1002/jrsm.1585)Ian R White
Research Synthesis Methods|October 18, 2020
Network meta-analysis results against a fictional treatment of average performance: Treatment effects and ranking metricAdriani Nikolakopoulou, Dimitris Mavridis, Virginia Chiocchia, et al.
Research Synthesis Methods|September 3, 2019
The dark side of the force: Multiplicity issues in network meta-analysis and how to address themOrestis Efthimiou, Ian R White
Research Synthesis Methods|November 21, 2015
The design-by-treatment interaction model: a unifying framework for modelling loop inconsistency in network meta-analysisDan Jackson, Paul Boddington, Ian R White
Research Synthesis Methods|December 21, 2022
Graphical tools for visualizing the results of network meta-analysis of multicomponent interventionsGeorgios Seitidis, Sofia Tsokani, Christos Christogiannis, et al.
Research Synthesis Methods|November 8, 2018
Automated methods to test connectedness and quantify indirectness of evidence in network meta-analysisHoward Thom, Ian R White, Nicky J Welton, et al.
Research Synthesis Methods|June 11, 2015
Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regressionIan R White, Jessica K Barrett, Dan Jackson, et al.
Research Synthesis Methods|July 14, 2022
Estimating interactions and subgroup-specific treatment effects in meta-analysis without aggregation bias: A within-trial frameworkPeter J Godolphin, Ian R White, Jayne F Tierney, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Research Synthesis Methods|April 17, 2019
Dealing with missing outcome data in meta-analysisDimitris Mavridis, Ian R White
Research Synthesis Methods|January 11, 2016
Detecting outlying studies in meta-regression models using a forward search algorithmDimitris Mavridis, Irini Moustaki, Melanie Wall, et al.
Research Synthesis Methods|October 1, 2022
The importance of plausible data-generating mechanisms in simulation studies: A response to 'Comparing methods for handling missing covariates in meta-regression' by Lee and Beretvas (doi: 10.1002/jrsm.1585)Ian R White
Research Synthesis Methods|October 18, 2020
Network meta-analysis results against a fictional treatment of average performance: Treatment effects and ranking metricAdriani Nikolakopoulou, Dimitris Mavridis, Virginia Chiocchia, et al.
Research Synthesis Methods|September 3, 2019
The dark side of the force: Multiplicity issues in network meta-analysis and how to address themOrestis Efthimiou, Ian R White
Research Synthesis Methods|November 21, 2015
The design-by-treatment interaction model: a unifying framework for modelling loop inconsistency in network meta-analysisDan Jackson, Paul Boddington, Ian R White
Research Synthesis Methods|December 21, 2022
Graphical tools for visualizing the results of network meta-analysis of multicomponent interventionsGeorgios Seitidis, Sofia Tsokani, Christos Christogiannis, et al.
Research Synthesis Methods|November 8, 2018
Automated methods to test connectedness and quantify indirectness of evidence in network meta-analysisHoward Thom, Ian R White, Nicky J Welton, et al.
Research Synthesis Methods|June 11, 2015
Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regressionIan R White, Jessica K Barrett, Dan Jackson, et al.
Research Synthesis Methods|July 14, 2022
Estimating interactions and subgroup-specific treatment effects in meta-analysis without aggregation bias: A within-trial frameworkPeter J Godolphin, Ian R White, Jayne F Tierney, et al.
Pageof 2