Richard D Riley

50.9k total citations · 23 hit papers
343 papers, 28.0k citations indexed

About

Richard D Riley is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Richard D Riley has authored 343 papers receiving a total of 28.0k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Statistics, Probability and Uncertainty, 86 papers in Statistics and Probability and 72 papers in Economics and Econometrics. Recurrent topics in Richard D Riley's work include Meta-analysis and systematic reviews (131 papers), Health Systems, Economic Evaluations, Quality of Life (61 papers) and Statistical Methods in Clinical Trials (54 papers). Richard D Riley is often cited by papers focused on Meta-analysis and systematic reviews (131 papers), Health Systems, Economic Evaluations, Quality of Life (61 papers) and Statistical Methods in Clinical Trials (54 papers). Richard D Riley collaborates with scholars based in United Kingdom, Netherlands and United States. Richard D Riley's co-authors include Karel G.M. Moons, Gary S. Collins, Jonathan J Deeks, Julian P. T. Higgins, Joie Ensor, Kym I E Snell, Johannes B. Reitsma, Paul C. Lambert, Thomas P. A. Debray and Dan Jackson and has published in prestigious journals such as JAMA, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Richard D Riley

320 papers receiving 27.5k citations

Hit Papers

Interpretation of random effects meta-analyses 2006 2026 2012 2019 2011 2018 2006 2015 2020 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Interpretation of random effects meta-analyses
    2011 2.1k citations Richard D Riley et al. profile →
  2. PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
    2018 1.5k citations Karel G.M. Moons, Richard D Riley et al. profile →
  3. Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups
    2006 1.4k citations Richard D Riley et al. profile →
  4. Preferred Reporting Items for a Systematic Review and Meta-analysis of Individual Participant Data
    2015 1.3k citations Richard D Riley et al. profile →
  5. Calculating the sample size required for developing a clinical prediction model
    2020 1.2k citations Richard D Riley, Joie Ensor et al. BMJ profile →
  6. Meta-analysis of individual participant data: rationale, conduct, and reporting
    2010 1.1k citations Richard D Riley et al. profile →
  7. Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research
    2013 988 citations Karel G.M. Moons, Daniëlle van der Windt et al. profile →
  8. PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration
    2018 939 citations Karel G.M. Moons, Richard D Riley et al. profile →
  9. Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
    2018 581 citations Richard D Riley, Kym I E Snell et al. Statistics in Medicine profile →
  10. Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research
    2013 561 citations Richard D Riley, Karel G.M. Moons et al. profile →
  11. A guide to systematic review and meta-analysis of prognostic factor studies
    2019 521 citations Richard D Riley, Karel G.M. Moons et al. BMJ profile →
  12. Quantifying the impact of between‐study heterogeneity in multivariate meta‐analyses
    2012 482 citations Dan Jackson, Ian R. White et al. Statistics in Medicine profile →
  13. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence
    2021 475 citations Gary S. Collins, Paula Dhiman et al. BMJ Open profile →
  14. Prognosis research strategy (PROGRESS) 1: A framework for researching clinical outcomes
    2013 453 citations Keith R. Abrams, Karel G.M. Moons et al. BMJ profile →
  15. A guide to systematic review and meta-analysis of prediction model performance
    2017 402 citations Thomas P. A. Debray, Johanna AAG Damen et al. BMJ profile →
  16. External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges
    2016 348 citations Richard D Riley, Joie Ensor et al. BMJ profile →
  17. Prognosis research strategy (PROGRESS) 4: Stratified medicine research
    2013 347 citations Daniëlle van der Windt, Richard D Riley et al. BMJ profile →
  18. GRADE Guidelines 28: Use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks
    2020 252 citations Richard D Riley et al. Journal of Clinical Epidemiology profile →
  19. Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review
    2021 222 citations Constanza L. Andaur Navarro, Johanna AAG Damen et al. BMJ profile →
  20. Minimum sample size for external validation of a clinical prediction model with a binary outcome
    2021 186 citations Richard D Riley, Thomas P. A. Debray et al. Statistics in Medicine profile →
  21. Evaluation of clinical prediction models (part 1): from development to external validation
    2024 183 citations Gary S. Collins, Paula Dhiman et al. BMJ profile →
  22. Evaluation of clinical prediction models (part 2): how to undertake an external validation study
    2024 102 citations Richard D Riley, Lucinda Archer et al. BMJ profile →
  23. Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study
    2024 68 citations Richard D Riley, Kym I E Snell et al. BMJ profile →

Peers

Richard D Riley
Comparison fields: 5 of 221
  • Epidemiology 4.0k
  • Surgery 4.0k
  • Statistics, Probability and Uncertainty 3.6k
  • Pulmonary and Respiratory Medicine 2.9k
  • Cardiology and Cardiovascular Medicine 2.9k
Replace Georgia Salanti with:
Georgia Salanti Switzerland
A. E. Ades United Kingdom
Keith R. Abrams United Kingdom
Philippe Ravaud France
Nicky J. Welton United Kingdom
Kay Dickersin United States
Alex J. Sutton United Kingdom
Isabelle Boutron France
Paula Williamson United Kingdom
James R. Carpenter United Kingdom
Georgia Salanti Switzerland View profile →
Citations per field, relative to Richard D Riley
Richard D Riley · 1×
Citations per year, relative to Richard D Riley
Richard D Riley · 1×

Countries citing papers authored by Richard D Riley

Since Specialization
Citations

This map shows the geographic impact of Richard D Riley's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Richard D Riley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard D Riley more than expected).

Fields of papers citing papers by Richard D Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard D Riley. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Richard D Riley. The network helps show where Richard D Riley may publish in the future.

Co-authorship network of co-authors of Richard D Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Richard D Riley. A scholar is included among the top collaborators of Richard D Riley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard D Riley. Richard D Riley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
The Value of Clinical Prediction Models in General Practice: A Qualitative Study Exploring the Perspectives of People With Lived Experience of Depression and General Practitioners
2024 ·Health Expectations ·Andrew S. Moriarty, (unknown), Dean McMillan, Richard D Riley, Kym I E Snell, Lucinda Archer, Lewis W. Paton, Simon Gilbody, Carolyn Chew‐Graham
0
2
Risk-stratified monitoring for sulfasalazine toxicity: prognostic model development and validation
2024 ·RMD Open ·Abhishek Abhishek, Matthew J. Grainge, Tim Card, Hywel C Williams, Maarten W. Taal, Guruprasad P. Aithal, Christopher P. Fox, Christian Mallen, Matt Stevenson, Georgina Nakafero, Richard D Riley
3
3
Development of the Community-based complex Interventions to sustain Independence in Older People (CII-OP) typology: a qualitative synthesis of interventions in randomised controlled trials
2024 ·Age and Ageing ·Thomas F Crocker, (unknown), Natalie Lam, (unknown), (unknown), (unknown), (unknown), (unknown), Joie Ensor, Anne Förster, Andrew Clegg, John Gladman, (unknown), (unknown), Ram Bajpai, M. Gene Bond, John R. Green, (unknown), Richard D Riley, (unknown)
0
4
Predicting and preventing relapse of depression in primary care: a mixed methods study
2023 ·PubMed Central ·Andrew Moriarty, Lucinda Archer, Kym I E Snell, Nick Meader, Lewis W. Paton, Richard D Riley, Dean McMillan, Carolyn Chew‐Graham
0
5
Discontinuation of anti-tumour necrosis factor alpha treatment owing to blood test abnormalities, and cost-effectiveness of alternate blood monitoring strategies
2023 ·British Journal of Dermatology ·Abhishek Abhishek, Matt Stevenson, Georgina Nakafero, Matthew J. Grainge, Ian Evans, Oras Alabas, Tim Card, Maarten W. Taal, Guruprasad P. Aithal, Christopher P. Fox, Christian Mallen, Daniëlle van der Windt, Richard D Riley, Richard B. Warren, Hywel C Williams
2
6
Risk-stratified monitoring for thiopurine toxicity in immune-mediated inflammatory diseases: prognostic model development, validation, and, health economic evaluation
2023 ·EClinicalMedicine ·Georgina Nakafero, Tim Card, Matthew J. Grainge, Hywel C Williams, Maarten W. Taal, Guruprasad P. Aithal, Christopher P. Fox, Christian Mallen, Daniëlle van der Windt, Matt Stevenson, Richard D Riley, Abhishek Abhishek
3
7
Propensity‐based standardization to enhance the validation and interpretation of prediction model discrimination for a target population
2023 ·Statistics in Medicine ·Valentijn M. T. de Jong, Jeroen Hoogland, Karel G.M. Moons, Richard D Riley, Tri‐Long Nguyen, Thomas P. A. Debray
1
8
Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models
2022 ·Journal of Clinical Epidemiology ·Constanza L. Andaur Navarro, Johanna AAG Damen, Maarten van Smeden, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Jie Ma, Gary S. Collins, Ram Bajpai, Richard D Riley, Karel G.M. Moons, Lotty Hooft
58
9
Association of pregnancy complications/risk factors with the development of future long-term health conditions in women: overarching protocol for umbrella reviews
2022 ·BMJ Open ·Megha Singh, Francesca L. Crowe, Shakila Thangaratinam, Kathryn M. Abel, Mairead Black, Kelvin Okoth, Richard D Riley, Kelly‐Ann Eastwood, Holly Hope, (unknown), (unknown), Siang Ing Lee, Katherine W. Phillips, Zoë Vowles, Neil Cockburn, Ngawai Moss, Krishnarajah Nirantharakumar
2
10
Diet and physical activity in pregnancy to prevent gestational diabetes: a protocol for an individual participant data (IPD) meta-analysis on the differential effects of interventions with economic evaluation
2021 ·BMJ Open ·Dyuti Coomar, Jonathan Hazlehurst, (unknown), Charlie Foster, G. A. Hitman, Nicola Heslehurst, Stamatina Iliodromiti, Ana Pilar Betrán, Ngawai Moss, Lucilla Poston, Krishnarajah Nirantharakumar, Tracy Roberts, Sharon Simpson, Helena Teede, Richard D Riley, John Allotey, Shakila Thangaratinam
3
11
Association between antihypertensive treatment and adverse events: systematic review and meta-analysis
2021 ·BMJ ·Ali Albasri, Miriam Hattle, Constantinos Koshiaris, Anna Dunnigan, Ben E. Paxton, (unknown), Margaret Smith, Lucinda Archer, Brooke Levis, Rupert Payne, Richard D Riley, Nia Roberts, Kym I E Snell, Sarah Lay‐Flurrie, Juliet A. Usher‐Smith, Richard Stevens, Richard Hobbs, Richard J. McManus, James P Sheppard
88
12
Development and validation of a clinical prediction rule for development of diabetic foot ulceration: an analysis of data from five cohort studies
2021 ·BMJ Open Diabetes Research & Care ·Francesca M. Chappell, Fay Crawford, Margaret Horne, Graham Leese, Angela Martin, David Weller, Andrew J.M. Boulton, Caroline A. Abbott, Matilde Monteiro‐Soares, Aristidis Veves, Richard D Riley
10
13
Completeness of reporting of clinical prediction models developed using supervised machine learning: A systematic review
2021 ·medRxiv ·Constanza L. Andaur Navarro, Johanna AAG Damen, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Jie Ma, Gary S. Collins, Ram Bajpai, Richard D Riley, Karel G.M. Moons, Lotty Hooft
8
14
Risk assessments and structured care interventions for prevention of foot ulceration in diabetes: development and validation of a prognostic model
2020 ·Health Technology Assessment ·Fay Crawford, Francesca M. Chappell, James Lewsey, Richard D Riley, Neil Hawkins, Donald Nicolson, Robert Heggie, Marie Smith, Margaret Horne, (unknown), Angela Martin, Saket Gupta, Karen Gray, David Weller, Julie Brittenden, Graham Leese
17
15
Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes breakdown →
2018 ·Statistics in Medicine ·Richard D Riley, Kym I E Snell, Joie Ensor, Danielle Burke, Frank E. Harrell, Karel G.M. Moons, Gary S. Collins
581
16
Study protocol: quantitative fibronectin to help decision-making in women with symptoms of preterm labour (QUIDS) part 2, UK Prospective Cohort Study
2018 ·BMJ Open ·Sarah J. Stock, (unknown), Kathleen Boyd, R. Katie Morris, Jon Dorling, Lesley Jackson, Manju Chandiramani, Anna L. David, Asma Khalil, Andrew Shennan, Victoria Hodgetts Morton, Tina Lavender, Khalid S. Khan, (unknown), Ben W. Mol, Richard D Riley, John Norrie, Jane E. Norman
3
17
Random‐effects meta‐analysis of the clinical utility of tests and prediction models
2018 ·Statistics in Medicine ·Laure Wynants, Richard D Riley, D. Timmerman, Ben Van Calster
29
18
Bayesian meta‐analytical methods to incorporate multiple surrogate endpoints in drug development process
2015 ·Statistics in Medicine ·Sylwia Bujkiewicz, John R. Thompson, Richard D Riley, Keith R. Abrams
22
19
Quantifying the impact of between‐study heterogeneity in multivariate meta‐analyses breakdown →
2012 ·Statistics in Medicine ·Dan Jackson, Ian R. White, Richard D Riley
482
20
A Systematic Review of p53 as a Prognostic Factor of Survival in Squamous Cell Carcinoma of the Four Main Anatomical Subsites of the Head and Neck
2010 ·Cancer Epidemiology Biomarkers & Prevention ·Sankalap Tandon, Catrin Tudur Smith, Richard D Riley, Mark T. Boyd, Terence M. Jones
75

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