R D Riley

Summary

Affiliation: University of Birmingham
Country: UK

Publications

  1. pmc Mortality and implant revision rates of hip arthroplasty in patients with osteoarthritis: registry based cohort study
    D J W McMinn
    McMinn Centre, Edgbaston, Birmingham, UK
    BMJ 344:e3319. 2012
  2. pmc Developing and validating risk prediction models in an individual participant data meta-analysis
    Ikhlaaq Ahmed
    School of Health and Population Sciences, Public Health Building, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
    BMC Med Res Methodol 14:3. 2014
  3. pmc Protocol for a systematic review of the diagnostic and prognostic utility of tests currently available for the detection of aspirin resistance in patients with established cardiovascular or cerebrovascular disease
    Smriti Raichand
    Public Health, Epidemiology and Biostatistics, School of Health and Population Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
    Syst Rev 2:16. 2013
  4. pmc Exercise therapy for chronic low back pain: protocol for an individual participant data meta-analysis
    Jill A Hayden
    Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, B3H 1V7, Canada
    Syst Rev 1:64. 2012
  5. pmc Predicting infectious complications in neutropenic children and young people with cancer (IPD protocol)
    Robert S Phillips
    Centre for Reviews and Dissemination, Alcuin College, University of York, York, YO10 5DD, UK
    Syst Rev 1:8. 2012
  6. pmc Individual participant data meta-analyses should not ignore clustering
    Ghada Abo-Zaid
    European Centre for Environment and Human Health, Peninsula College of Medicine and Dentistry, University of Exeter, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK
    J Clin Epidemiol 66:865-873.e4. 2013
  7. doi request reprint Meta-analysis of randomised trials with a continuous outcome according to baseline imbalance and availability of individual participant data
    Richard D Riley
    School of Health and Population Sciences, University of Birmingham, Public Health Building, Edgbaston, Birmingham, B15 2TT, UK
    Stat Med 32:2747-66. 2013
  8. pmc Prognosis Research Strategy (PROGRESS) 2: prognostic factor research
    Richard D Riley
    School of Health and Population Sciences, University of Birmingham, Birmingham, United Kingdom
    PLoS Med 10:e1001380. 2013
  9. pmc Individual participant data meta-analysis of prognostic factor studies: state of the art?
    Ghada Abo-Zaid
    European Centre for Environment and Human Health, Peninsula College of Medicine and Dentistry, University of Exeter Knowledge Spa Royal Cornwall Hospital Truro, Cornwall TR1 3HD UK
    BMC Med Res Methodol 12:56. 2012
  10. pmc Individual patient data meta-analysis of survival data using Poisson regression models
    Michael J Crowther
    Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Adrian Building, University Road, Leicester LE1 7RH, UK
    BMC Med Res Methodol 12:34. 2012

Collaborators

Detail Information

Publications15

  1. pmc Mortality and implant revision rates of hip arthroplasty in patients with osteoarthritis: registry based cohort study
    D J W McMinn
    McMinn Centre, Edgbaston, Birmingham, UK
    BMJ 344:e3319. 2012
    ....
  2. pmc Developing and validating risk prediction models in an individual participant data meta-analysis
    Ikhlaaq Ahmed
    School of Health and Population Sciences, Public Health Building, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
    BMC Med Res Methodol 14:3. 2014
    ..We review how researchers develop and validate risk prediction models within an individual participant data (IPD) meta-analysis, in order to assess the feasibility and conduct of the approach...
  3. pmc Protocol for a systematic review of the diagnostic and prognostic utility of tests currently available for the detection of aspirin resistance in patients with established cardiovascular or cerebrovascular disease
    Smriti Raichand
    Public Health, Epidemiology and Biostatistics, School of Health and Population Sciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
    Syst Rev 2:16. 2013
    ..The review has been registered with PROSPERO (CRD42012002151)...
  4. pmc Exercise therapy for chronic low back pain: protocol for an individual participant data meta-analysis
    Jill A Hayden
    Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, B3H 1V7, Canada
    Syst Rev 1:64. 2012
    ....
  5. pmc Predicting infectious complications in neutropenic children and young people with cancer (IPD protocol)
    Robert S Phillips
    Centre for Reviews and Dissemination, Alcuin College, University of York, York, YO10 5DD, UK
    Syst Rev 1:8. 2012
    ....
  6. pmc Individual participant data meta-analyses should not ignore clustering
    Ghada Abo-Zaid
    European Centre for Environment and Human Health, Peninsula College of Medicine and Dentistry, University of Exeter, Knowledge Spa, Royal Cornwall Hospital, Truro, Cornwall TR1 3HD, UK
    J Clin Epidemiol 66:865-873.e4. 2013
    ..Individual participant data (IPD) meta-analyses often analyze their IPD as if coming from a single study. We compare this approach with analyses that rather account for clustering of patients within studies...
  7. doi request reprint Meta-analysis of randomised trials with a continuous outcome according to baseline imbalance and availability of individual participant data
    Richard D Riley
    School of Health and Population Sciences, University of Birmingham, Public Health Building, Edgbaston, Birmingham, B15 2TT, UK
    Stat Med 32:2747-66. 2013
    ..Finally, we extend the ANCOVA model to estimate the interaction between treatment effect and baseline values and compare options for estimating this interaction given only aggregate data...
  8. pmc Prognosis Research Strategy (PROGRESS) 2: prognostic factor research
    Richard D Riley
    School of Health and Population Sciences, University of Birmingham, Birmingham, United Kingdom
    PLoS Med 10:e1001380. 2013
    ....
  9. pmc Individual participant data meta-analysis of prognostic factor studies: state of the art?
    Ghada Abo-Zaid
    European Centre for Environment and Human Health, Peninsula College of Medicine and Dentistry, University of Exeter Knowledge Spa Royal Cornwall Hospital Truro, Cornwall TR1 3HD UK
    BMC Med Res Methodol 12:56. 2012
    ..We assessed the feasibility and conduct of this approach...
  10. pmc Individual patient data meta-analysis of survival data using Poisson regression models
    Michael J Crowther
    Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, Adrian Building, University Road, Leicester LE1 7RH, UK
    BMC Med Res Methodol 12:34. 2012
    ..We describe an alternative approach using Poisson based Generalised Linear Models (GLMs)...
  11. doi request reprint Statistical methods can be improved within Cochrane pregnancy and childbirth reviews
    Richard D Riley
    Department of Public Health, Epidemiology and Biostatistics, Public Health Building, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
    J Clin Epidemiol 64:608-18. 2011
    ..To assess statistical methods within systematic reviews of the Cochrane Pregnancy and Childbirth Group (CPCG)...
  12. pmc Prognostic markers in cancer: the evolution of evidence from single studies to meta-analysis, and beyond
    R D Riley
    Department of Public Health, Epidemiology and Biostatistics, Public Health Building, University of Birmingham, Edgbaston, Birmingham, UK
    Br J Cancer 100:1219-29. 2009
    ..We also outline why collaborative, multi-centre, and multi-disciplinary teams should be an essential part of future studies...
  13. ncbi request reprint Association and prediction of amniotic fluid measurements for adverse pregnancy outcome: systematic review and meta-analysis
    R K Morris
    Birmingham Centre for Women s and Children s Health and School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK Fetal Medicine Centre, Birmingham Women s Hospital NHS Foundation Trust, Birmingham, UK
    BJOG 121:686-99. 2014
    ..Measurements of amniotic fluid volume are used for pregnancy surveillance despite a lack of evidence for their predictive ability...
  14. pmc Diagnostic accuracy of spot urinary protein and albumin to creatinine ratios for detection of significant proteinuria or adverse pregnancy outcome in patients with suspected pre-eclampsia: systematic review and meta-analysis
    R K Morris
    Research Section of Reproduction, Genes and Development, School of Clinical and Experimental Medicine, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
    BMJ 345:e4342. 2012
    ..To determine the diagnostic accuracy of two "spot urine" tests for significant proteinuria or adverse pregnancy outcome in pregnant women with suspected pre-eclampsia...
  15. ncbi request reprint An evaluation of bivariate random-effects meta-analysis for the joint synthesis of two correlated outcomes
    R D Riley
    Centre for Biostatistics and Genetic Epidemiology, Department of Health Sciences, University of Leicester, UK
    Stat Med 26:78-97. 2007
    ..Bivariate meta-regression and further research priorities are also discussed...