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Jack Bowden

Jack Bowden

Address:

MRC Biostatistics Unit,
Institute of Public Health,
University Forvie Site,
Robinson Way,
Cambridge. UK.
CB2 0SR

Telephone Number:

01223 768258

Email Address:

email address

Research Interests:

My research has primarily focused on the analysis and interpretation of biomedical data in the presence of selection bias. Specific areas of interest include:

  • Publication bias in meta-analysis
  • Ascertainment bias in genetic epidemiology
  • Treatment selection bias in adaptive clinical trials
  • 'Winner's curse' bias in genome wide association scans
  • Confounding bias in observational epidemiology

Selected Recent Publications:

Individual patient data meta-analysis of time-to-event outcomes: one-stage versus two-stage approaches to estimating the hazard ratio under a random effects model. J. Bowden, J. Tierney, M. Simmonds, A.J. Copas and J.P.T. Higgins. Research Synthesis Methods 2011. (Click here for associated R package)

Meta-analysis of time-to-event data: a comparison of two-stage methods. M.C. Simmonds, J. Tierney, J Bowden and J.P.T. Higgins. Research Synthesis Methods 2011. In press.

On Instrumental Variables Estimation of Causal Odds Ratios. S. Vansteelandt, J. Bowden, M. Babanezhad and E. Goetghebeur. Statistical Science. 2011 In press

Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics. J. Bowden, J. Tierney, A. Copas and S. Burdett. BMC Medical Research Methodology. 2011 In press

Mendelian randomisation analysis of case-control data using Structural Mean Models. J Bowden and S Vansteelandt. Statistics in Medicine 2011 30: 678-694

Modelling multiple sources of dissemination bias in meta-analysis. J. Bowden, D. Jackson and S.G. Thompson. Statistics in Medicine. 2010 29: 945-955

How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts? D. Jackson, J. Bowden and R. Baker. Journal of Statistical Planning and Inference. 2010 140: 961-970