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International Journal of Epidemiology
|
July 3, 2018
Investigating causality in associations between education and smoking: a two-sample Mendelian randomization study
Suzanne H Gage, Jack Bowden, George Davey Smith, et al.
Trials
|
January 25, 2013
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Babak Choodari-Oskooei, Mahesh K B Parmar, Patrick Royston, et al.
Plos Genetics
|
September 8, 2021
The Triangulation WIthin a STudy (TWIST) framework for causal inference within pharmacogenetic research
Jack Bowden, Luke C Pilling, Deniz Türkmen, et al.
Plos One
|
August 10, 2022
Interaction-based Mendelian randomization with measured and unmeasured gene-by-covariate interactions
Wes Spiller, Fernando Pires Hartwig, Eleanor Sanderson, et al.
Biometrika
|
May 17, 2023
Sample-constrained partial identification with application to selection bias
Matthew J Tudball, Rachael A Hughes, Kate Tilling, et al.
Research Synthesis Methods
|
June 11, 2015
Individual patient data meta-analysis of time-to-event outcomes: one-stage versus two-stage approaches for estimating the hazard ratio under a random effects model
Jack Bowden, Jayne F Tierney, Mark Simmonds, et al.
Genetic Epidemiology
|
August 14, 2024
Using clustering of genetic variants in Mendelian randomization to interrogate the causal pathways underlying multimorbidity from a common risk factor
Xiaoran Liang, Ninon Mounier, Nicolas Apfel, et al.
International Journal of Molecular Sciences
|
April 27, 2024
<i>SLCO1B1</i> Exome Sequencing and Statin Treatment Response in 64,000 UK Biobank Patients
Deniz Türkmen, Jack Bowden, Jane A H Masoli, et al.
Statistics in Medicine
|
April 11, 2025
Instrumental Variable Methods to Target Hypothetical Estimands With Longitudinal Repeated Measures Data: Application to the STEP 1 Trial
Jack Bowden, Jesper Madsen, Bryan Goldman, et al.
BMC Medical Informatics and Decision Making
|
January 8, 2024
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy
Pedro Cardoso, John M Dennis, Jack Bowden, et al.
Page
of 13
Search research articles
Search
Showing results (51-60 of 128) with videos related to
Sort By:
Page
of 13
International Journal of Epidemiology
|
July 3, 2018
Investigating causality in associations between education and smoking: a two-sample Mendelian randomization study
Suzanne H Gage, Jack Bowden, George Davey Smith, et al.
Trials
|
January 25, 2013
Impact of lack-of-benefit stopping rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome
Babak Choodari-Oskooei, Mahesh K B Parmar, Patrick Royston, et al.
Plos Genetics
|
September 8, 2021
The Triangulation WIthin a STudy (TWIST) framework for causal inference within pharmacogenetic research
Jack Bowden, Luke C Pilling, Deniz Türkmen, et al.
Plos One
|
August 10, 2022
Interaction-based Mendelian randomization with measured and unmeasured gene-by-covariate interactions
Wes Spiller, Fernando Pires Hartwig, Eleanor Sanderson, et al.
Biometrika
|
May 17, 2023
Sample-constrained partial identification with application to selection bias
Matthew J Tudball, Rachael A Hughes, Kate Tilling, et al.
Research Synthesis Methods
|
June 11, 2015
Individual patient data meta-analysis of time-to-event outcomes: one-stage versus two-stage approaches for estimating the hazard ratio under a random effects model
Jack Bowden, Jayne F Tierney, Mark Simmonds, et al.
Genetic Epidemiology
|
August 14, 2024
Using clustering of genetic variants in Mendelian randomization to interrogate the causal pathways underlying multimorbidity from a common risk factor
Xiaoran Liang, Ninon Mounier, Nicolas Apfel, et al.
International Journal of Molecular Sciences
|
April 27, 2024
<i>SLCO1B1</i> Exome Sequencing and Statin Treatment Response in 64,000 UK Biobank Patients
Deniz Türkmen, Jack Bowden, Jane A H Masoli, et al.
Statistics in Medicine
|
April 11, 2025
Instrumental Variable Methods to Target Hypothetical Estimands With Longitudinal Repeated Measures Data: Application to the STEP 1 Trial
Jack Bowden, Jesper Madsen, Bryan Goldman, et al.
BMC Medical Informatics and Decision Making
|
January 8, 2024
Dirichlet process mixture models to impute missing predictor data in counterfactual prediction models: an application to predict optimal type 2 diabetes therapy
Pedro Cardoso, John M Dennis, Jack Bowden, et al.
Page
of 13