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  1. Article

    Open Access

    Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Qstatistics

    Clinical researchers have often preferred to use a fixed effects model for the primary interpretation of a meta-analysis. Heterogeneity is usually assessed via the well known Q and I 2 statistics, along with the ...

    Jack Bowden, Jayne F Tierney, Andrew J Copas in BMC Medical Research Methodology (2011)

  2. Article

    Open Access

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

    Andrew T Prevost, Jack Bowden in Trials (2011)

  3. Article

    Open Access

    Impact of lack-of-benefit stop** rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome

    In 2011, Royston et al. described technical details of a two-arm, multi-stage (TAMS) design. The design enables a trial to be stopped part-way through recruitment if the accumulating data suggests a lack of benef...

    Babak Choodari-Oskooei, Mahesh KB Parmar, Patrick Royston, Jack Bowden in Trials (2013)

  4. Article

    Open Access

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

    Sofia S Villar, Jack Bowden, James Wason in Trials (2013)

  5. Article

    Open Access

    Impact of lack-of-benefit stop** rules on treatment effect estimates of two-arm multi-stage (TAMS) trials with time to event outcome

    Babak Choodari-Oskooei, Max KB Parmar, Patrick Royston, Jack Bowden in Trials (2013)

  6. Article

    Open Access

    Adaptive enrichment in biomarker-stratified clinical trial design

    Deepak Parashar, Jack Bowden, Colin Starr, Lorenz Wernisch, Adrian Mander in Trials (2013)

  7. Article

    Open Access

    Correcting for selection bias in two-stage trials with multiple correlated outcomes: application to seamless phase ii/iii clinical trials

    David Robertson, A Toby Prevost, Jack Bowden in Trials (2015)

  8. Article

    Open Access

    Patient drift and response-adaptive randomisation: impact and solutions

    Sofia S Villar, James Wason, Jack Bowden in Trials (2015)

  9. Article

    Open Access

    Type I error control in biomarker-stratified clinical trials

    Deepak Parashar, Jack Bowden, Colin Starr, Lorenz Wernisch, Adrian Mander in Trials (2015)

  10. Article

    Open Access

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

    Confidence intervals for the between study variance are useful in random-effects meta-analyses because they quantify the uncertainty in the corresponding point estimates. Methods for calculating these confiden...

    Dan Jackson, Jack Bowden in BMC Medical Research Methodology (2016)

  11. Article

    Open Access

    The use of single armed observational data to closing the gap in otherwise disconnected evidence networks: a network meta-analysis in multiple myeloma

    Network meta-analysis (NMA) allows for the estimation of comparative effectiveness of treatments that have not been studied in head-to-head trials; however, relative treatment effects for all interventions can...

    Susanne Schmitz, Áine Maguire, James Morris in BMC Medical Research Methodology (2018)

  12. Article

    Open Access

    Should RECOVERY have used response adaptive randomisation? Evidence from a simulation study

    The Randomised Evaluation of COVID-19 Therapy (RECOVERY) trial is aimed at addressing the urgent need to find effective treatments for patients hospitalised with suspected or confirmed COVID-19. The trial has ...

    Tamir Sirkis, Benjamin Jones, Jack Bowden in BMC Medical Research Methodology (2022)