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Paula Williamson

Showing results (11-20 of 101) with videos related to

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Statistical Methods in Medical Research|November 15, 2017
Model-based sensitivity analysis for outcome reporting bias in the meta analysis of benefit and harm outcomesJohn Copas, Anthony Marson, Paula Williamson, et al.
Biostatistics (Oxford, England)|November 12, 2013
A model-based correction for outcome reporting bias in meta-analysisJohn Copas, Kerry Dwan, Jamie Kirkham, et al.
Journal of Evaluation in Clinical Practice|January 21, 2006
A comparison of multivariable regression models to analyse cost dataSusanna Dodd, Asish Bassi, Keith Bodger, et al.
Journal of Clinical Epidemiology|December 3, 2014
Survey of new 2007 and 2011 Cochrane reviews found 37% of prespecified outcomes not reportedValerie Smith, Mike Clarke, Paula Williamson, et al.
Trials|June 9, 2026
To adopt or adapt an existing COS for neonatal research: qualitative studyJamlick Karumbi, David Gathara, Paula Williamson, et al.
Plos One|November 19, 2010
Indirect comparisons: a review of reporting and methodological qualitySarah Donegan, Paula Williamson, Carrol Gamble, et al.
Statistics in Medicine|July 13, 2012
Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treatment comparison meta-analysis: individual patient-level covariates versus aggregate trial-level covariatesSarah Donegan, Paula Williamson, Umberto D'Alessandro, et al.
Research Synthesis Methods|June 9, 2015
Assessing key assumptions of network meta-analysis: a review of methodsSarah Donegan, Paula Williamson, Umberto D'Alessandro, et al.
Trials|June 21, 2014
A review of the handling of missing longitudinal outcome data in clinical trialsMatthew Powney, Paula Williamson, Jamie Kirkham, et al.
PLOS Global Public Health|June 20, 2024
Experiences of core outcome set developers on including stakeholders from low- and middle-income countries: An online surveyJamlick Karumbi, Sarah Gorst, David Gathara, et al.
Pageof 11

Showing results (11-20 of 101) with videos related to

Sort By:
Pageof 11
Statistical Methods in Medical Research|November 15, 2017
Model-based sensitivity analysis for outcome reporting bias in the meta analysis of benefit and harm outcomesJohn Copas, Anthony Marson, Paula Williamson, et al.
Biostatistics (Oxford, England)|November 12, 2013
A model-based correction for outcome reporting bias in meta-analysisJohn Copas, Kerry Dwan, Jamie Kirkham, et al.
Journal of Evaluation in Clinical Practice|January 21, 2006
A comparison of multivariable regression models to analyse cost dataSusanna Dodd, Asish Bassi, Keith Bodger, et al.
Journal of Clinical Epidemiology|December 3, 2014
Survey of new 2007 and 2011 Cochrane reviews found 37% of prespecified outcomes not reportedValerie Smith, Mike Clarke, Paula Williamson, et al.
Trials|June 9, 2026
To adopt or adapt an existing COS for neonatal research: qualitative studyJamlick Karumbi, David Gathara, Paula Williamson, et al.
Plos One|November 19, 2010
Indirect comparisons: a review of reporting and methodological qualitySarah Donegan, Paula Williamson, Carrol Gamble, et al.
Statistics in Medicine|July 13, 2012
Assessing the consistency assumption by exploring treatment by covariate interactions in mixed treatment comparison meta-analysis: individual patient-level covariates versus aggregate trial-level covariatesSarah Donegan, Paula Williamson, Umberto D'Alessandro, et al.
Research Synthesis Methods|June 9, 2015
Assessing key assumptions of network meta-analysis: a review of methodsSarah Donegan, Paula Williamson, Umberto D'Alessandro, et al.
Trials|June 21, 2014
A review of the handling of missing longitudinal outcome data in clinical trialsMatthew Powney, Paula Williamson, Jamie Kirkham, et al.
PLOS Global Public Health|June 20, 2024
Experiences of core outcome set developers on including stakeholders from low- and middle-income countries: An online surveyJamlick Karumbi, Sarah Gorst, David Gathara, et al.
Pageof 11