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Simon G Thompson

Showing results (71-80 of 150) with videos related to

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American Journal of Epidemiology|October 4, 2011
Missing data methods in Mendelian randomization studies with multiple instrumentsStephen Burgess, Shaun Seaman, Debbie A Lawlor, et al.
American Journal of Epidemiology|December 25, 2013
Assessing risk prediction models using individual participant data from multiple studiesLisa Pennells, Stephen Kaptoge, Ian R White, et al.
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|March 8, 2011
Modelling bias in combining small area prevalence estimates from multiple surveysGiancarlo Manzi, David J Spiegelhalter, Rebecca M Turner, et al.
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|April 22, 2009
Bias modelling in evidence synthesisRebecca M Turner, David J Spiegelhalter, Gordon C S Smith, et al.
Lancet (London, England)|August 3, 2018
Lessons from the INTERVAL study - Authors' replyEmanuele Di Angelantonio, Simon G Thompson, Stephen Kaptoge, et al.
BMJ (Clinical Research Ed.)|September 6, 2003
Measuring inconsistency in meta-analysesJulian P T Higgins, Simon G Thompson, Jonathan J Deeks, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|May 24, 2011
A framework for addressing structural uncertainty in decision modelsChristopher H Jackson, Laura Bojke, Simon G Thompson, et al.
Pharmaceutical Statistics|January 11, 2012
Admissible two-stage designs for phase II cancer clinical trials that incorporate the expected sample size under the alternative hypothesisAdrian P Mander, James M S Wason, Michael J Sweeting, et al.
Plos One|October 11, 2014
Using multivariable Mendelian randomization to disentangle the causal effects of lipid fractionsStephen Burgess, Daniel F Freitag, Hassan Khan, et al.
Lancet (London, England)|June 17, 2014
Metabolic mediators of body-mass index and cardiovascular riskDavid Wormser, Angela M Wood, Emanuele Di Angelantonio, et al.
Pageof 15

Showing results (71-80 of 150) with videos related to

Sort By:
Pageof 15
American Journal of Epidemiology|October 4, 2011
Missing data methods in Mendelian randomization studies with multiple instrumentsStephen Burgess, Shaun Seaman, Debbie A Lawlor, et al.
American Journal of Epidemiology|December 25, 2013
Assessing risk prediction models using individual participant data from multiple studiesLisa Pennells, Stephen Kaptoge, Ian R White, et al.
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|March 8, 2011
Modelling bias in combining small area prevalence estimates from multiple surveysGiancarlo Manzi, David J Spiegelhalter, Rebecca M Turner, et al.
Journal of the Royal Statistical Society. Series A, (Statistics in Society)|April 22, 2009
Bias modelling in evidence synthesisRebecca M Turner, David J Spiegelhalter, Gordon C S Smith, et al.
Lancet (London, England)|August 3, 2018
Lessons from the INTERVAL study - Authors' replyEmanuele Di Angelantonio, Simon G Thompson, Stephen Kaptoge, et al.
BMJ (Clinical Research Ed.)|September 6, 2003
Measuring inconsistency in meta-analysesJulian P T Higgins, Simon G Thompson, Jonathan J Deeks, et al.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|May 24, 2011
A framework for addressing structural uncertainty in decision modelsChristopher H Jackson, Laura Bojke, Simon G Thompson, et al.
Pharmaceutical Statistics|January 11, 2012
Admissible two-stage designs for phase II cancer clinical trials that incorporate the expected sample size under the alternative hypothesisAdrian P Mander, James M S Wason, Michael J Sweeting, et al.
Plos One|October 11, 2014
Using multivariable Mendelian randomization to disentangle the causal effects of lipid fractionsStephen Burgess, Daniel F Freitag, Hassan Khan, et al.
Lancet (London, England)|June 17, 2014
Metabolic mediators of body-mass index and cardiovascular riskDavid Wormser, Angela M Wood, Emanuele Di Angelantonio, et al.
Pageof 15