Rebecca M Turner

Summary

Affiliation: University of Cambridge
Country: UK

Publications

  1. ncbi request reprint Bayesian methods for analysis of binary outcome data in cluster randomized trials on the absolute risk scale
    Simon G Thompson
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, U K
    Stat Med 23:389-410. 2004
  2. ncbi request reprint Prior distributions for the intracluster correlation coefficient, based on multiple previous estimates, and their application in cluster randomized trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Clin Trials 2:108-18. 2005
  3. ncbi request reprint Constructing intervals for the intracluster correlation coefficient using Bayesian modelling, and application in cluster randomized trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge, CB2 2SR, UK
    Stat Med 25:1443-56. 2006
  4. pmc Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models
    Dan Jackson
    MRC Biostatistics Unit, Cambridge, UK
    BMC Med Res Methodol 14:103. 2014
  5. pmc The impact of study size on meta-analyses: examination of underpowered studies in Cochrane reviews
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, United Kingdom
    PLoS ONE 8:e59202. 2013
  6. pmc Routine antenatal anti-D prophylaxis in women who are Rh(D) negative: meta-analyses adjusted for differences in study design and quality
    Rebecca M Turner
    Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, United Kingdom
    PLoS ONE 7:e30711. 2012
  7. pmc Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Int J Epidemiol 41:818-27. 2012
  8. ncbi request reprint Modelling multivariate outcomes in hierarchical data, with application to cluster randomised trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK
    Biom J 48:333-45. 2006
  9. ncbi request reprint Analysis of cluster randomized cross-over trial data: a comparison of methods
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK
    Stat Med 26:274-89. 2007
  10. ncbi request reprint Allowing for imprecision of the intracluster correlation coefficient in the design of cluster randomized trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, U K
    Stat Med 23:1195-214. 2004

Detail Information

Publications19

  1. ncbi request reprint Bayesian methods for analysis of binary outcome data in cluster randomized trials on the absolute risk scale
    Simon G Thompson
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, U K
    Stat Med 23:389-410. 2004
    ..Using these methods, we can benefit from the advantages of Bayesian modelling of binary outcome data at the same time as providing results on a clinically interpretable scale...
  2. ncbi request reprint Prior distributions for the intracluster correlation coefficient, based on multiple previous estimates, and their application in cluster randomized trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Clin Trials 2:108-18. 2005
    ..The methods proposed enable available ICC information to be summarised appropriately by an informative prior distribution, which is of direct practical use in cluster randomized trials...
  3. ncbi request reprint Constructing intervals for the intracluster correlation coefficient using Bayesian modelling, and application in cluster randomized trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge, CB2 2SR, UK
    Stat Med 25:1443-56. 2006
    ..There is also the opportunity to incorporate prior beliefs on likely values of the ICC. The methods are exemplified using data from a cluster randomized trial...
  4. pmc Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models
    Dan Jackson
    MRC Biostatistics Unit, Cambridge, UK
    BMC Med Res Methodol 14:103. 2014
    ..A further suggestion for calculating credible intervals using informative prior distributions for the residual between-study variance is presented...
  5. pmc The impact of study size on meta-analyses: examination of underpowered studies in Cochrane reviews
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, United Kingdom
    PLoS ONE 8:e59202. 2013
    ..We examine the distribution of power available in studies within meta-analyses published in Cochrane reviews, and investigate the impact of underpowered studies on meta-analysis results...
  6. pmc Routine antenatal anti-D prophylaxis in women who are Rh(D) negative: meta-analyses adjusted for differences in study design and quality
    Rebecca M Turner
    Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, United Kingdom
    PLoS ONE 7:e30711. 2012
    ..To estimate the effectiveness of routine antenatal anti-D prophylaxis for preventing sensitisation in pregnant Rhesus negative women, and to explore whether this depends on the treatment regimen adopted...
  7. pmc Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Int J Epidemiol 41:818-27. 2012
    ..To assist in this, we provide empirical evidence on the likely extent of heterogeneity in particular areas of health care...
  8. ncbi request reprint Modelling multivariate outcomes in hierarchical data, with application to cluster randomised trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK
    Biom J 48:333-45. 2006
    ..The methods are applied to an example of a cluster randomised trial in the prevention of coronary heart disease. The modelling strategy presented would also be useful in other situations involving hierarchical multivariate outcomes...
  9. ncbi request reprint Analysis of cluster randomized cross-over trial data: a comparison of methods
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, UK
    Stat Med 26:274-89. 2007
    ..We conclude that choice between hierarchical models and cluster-level methods should be influenced by the extent of complexity in the planned analysis...
  10. ncbi request reprint Allowing for imprecision of the intracluster correlation coefficient in the design of cluster randomized trials
    Rebecca M Turner
    MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 2SR, U K
    Stat Med 23:1195-214. 2004
    ..The methods presented in this paper can be used by applied researchers to protect against loss of power, or to choose a design which reduces the impact of uncertainty in the ICC...
  11. pmc Objectively measured physical activity and fat mass in children: a bias-adjusted meta-analysis of prospective studies
    Desiree C Wilks
    Medical Research Council Collaborative Centre for Human Nutrition Research, Cambridge, United Kingdom
    PLoS ONE 6:e17205. 2011
    ....
  12. pmc Implementing informative priors for heterogeneity in meta-analysis using meta-regression and pseudo data
    Kirsty M Rhodes
    MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, U K
    Stat Med 35:5495-5511. 2016
    ..The proposed method facilitates Bayesian meta-analysis in a way that is accessible to applied researchers. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd...
  13. pmc Predictive distributions for between-study heterogeneity and simple methods for their application in Bayesian meta-analysis
    Rebecca M Turner
    MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, U K
    Stat Med 34:984-98. 2015
    ..We have provided resources to facilitate Bayesian meta-analysis, in a form accessible to applied researchers, which allow relevant prior information on the degree of heterogeneity to be incorporated...
  14. pmc Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis
    Jonathan Davey
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    BMC Med Res Methodol 11:160. 2011
    ..The characteristics of these reviews and the meta-analyses and individual studies they contain provide insights into the nature of healthcare research and important context for the development of relevant statistical and other methods...
  15. pmc Empirical evidence about inconsistency among studies in a pair-wise meta-analysis
    Kirsty M Rhodes
    MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK
    Res Synth Methods 7:346-370. 2016
    ..2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd. © 2015 The Authors. Research Synthesis Methods published by John Wiley & Sons, Ltd...
  16. pmc Comparative efficacy and safety of treatments for localised prostate cancer: an application of network meta-analysis
    Tengbin Xiong
    Department of Oncology, University of Cambridge, Addenbrooke s Hospital, Cambridge, UK
    BMJ Open 4:e004285. 2014
    ..There is ongoing uncertainty about the optimal management of patients with localised prostate cancer...
  17. pmc Predictive distributions were developed for the extent of heterogeneity in meta-analyses of continuous outcome data
    Kirsty M Rhodes
    MRC Biostatistics Unit, Cambridge Institute of Public Health, Forvie Site, Robinson Way, Cambridge Biomedical Campus, Cambridge, CB2 0SR, UK Electronic address
    J Clin Epidemiol 68:52-60. 2015
    ..To facilitate this, we provide empirical evidence on the likely heterogeneity between studies in meta-analyses relating to specific research settings...
  18. pmc Dietary energy density and adiposity: employing bias adjustments in a meta-analysis of prospective studies
    Desiree C Wilks
    Medical Research Council Human Nutrition Research, Cambridge, UK
    BMC Public Health 11:48. 2011
    ....