Misconceptions on the use of MR-Egger regression and the evaluation of the InSIDE assumption

Por Bowden, Jack
Publicado no Int J Epidemiol (2017)

Realising the full potential of MR-PHeWAS in cancer

Por Bowden, Jack
Publicado no Br J Cancer (2020)

Unbiased estimation of odds ratios: combining genomewide association scans with replication studies

Por Bowden, Jack, Dudbridge, Frank
Publicado em 2009

A re-evaluation of the ‘quantile approximation method’ for random effects meta-analysis

Por Jackson, Dan, Bowden, Jack
Publicado em 2009

Designing a preliminary adaptive study to inform a biomarker trial in Psoriasis

Por Prevost, Andrew T, Bowden, Jack
Publicado em 2011

Identifying combined design and analysis procedures in two-stage trials with a binary end point

Por Bowden, Jack, Wason, James
Publicado em 2012

Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop-the-losers trials

Por Bowden, Jack, Glimm, Ekkehard
Publicado em 2014

Confidence intervals for the between-study variance in random-effects meta-analysis using generalised heterogeneity statistics: should we use unequal tails?

Por Jackson, Dan, Bowden, Jack
Publicado no BMC Med Res Methodol (2016)

Weighing Evidence “Steampunk” Style via the Meta-Analyser

Por Bowden, Jack, Jackson, Chris
Publicado no Am Stat (2016)

Unbiased estimation for response adaptive clinical trials

Por Bowden, Jack, Trippa, Lorenzo
Publicado no Stat Methods Med Res (2015)

Meta‐analysis and Mendelian randomization: A review

Por Bowden, Jack, Holmes, Michael V.
Publicado no Res Synth Methods (2019)

A sensitivity analysis framework for the treatment effect measure used in the meta-analysis of comparative binary data from randomised controlled trials

Por Jackson, Dan, Baker, Rose, Bowden, Jack
Publicado em 2013

Revisiting the multi-armed bandit model for the optimal design of clinical trials: benefits and drawbacks

Por Villar, Sofia S, Bowden, Jack, Wason, James
Publicado em 2013

Empirical Bayes estimation of the selected treatment mean for two-stage drop-the-loser trials: a meta-analytic approach

Por Bowden, Jack, Brannath, Werner, Glimm, Ekkehard
Publicado no Stat Med (2014)

Patient drift and response-adaptive randomisation: impact and solutions

Por Villar, Sofia S, Wason, James, Bowden, Jack
Publicado no Trials (2015)

Approximate confidence intervals for moment‐based estimators of the between‐study variance in random effects meta‐analysis

Por Jackson, Dan, Bowden, Jack, Baker, Rose
Publicado no Res Synth Methods (2015)

Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges

Por Villar, Sofía S., Bowden, Jack, Wason, James
Publicado no Stat Sci (2015)

Response-Adaptive Randomization for Multi-arm Clinical Trials Using the Forward Looking Gittins Index Rule

Por Villar, Sofía S., Wason, James, Bowden, Jack
Publicado no Biometrics (2015)

Accelerated longitudinal designs: An overview of modelling, power, costs and handling missing data

Por Galbraith, Sally, Bowden, Jack, Mander, Adrian
Publicado no Stat Methods Med Res (2016)

Response‐adaptive designs for binary responses: How to offer patient benefit while being robust to time trends?

Por Villar, Sofía S., Bowden, Jack, Wason, James
Publicado no Pharm Stat (2017)