Richard D Riley (Richard Riley, R D Riley)

ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 59

Top Venues

BMJ open

Statistics in medicine

Research synthesis methods

Health technology assessment (Winchester, England)

Keele University

University of Leicester (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Keele University

United Kingdom

Professor of Biostatistics :: iPCHS

Education History

University of Leicester

United Kingdom

PHD

Publications

Tom Hughes, Richard D Riley, Michael J Callaghan, Jamie C Sergeant
Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records. BMJ open 13 (1) (2023)
Sarah Booth, Sarwar Islam Mozumder, Lucinda Archer, Joie Ensor, Richard D Riley, Paul C Lambert, Mark J Rutherford
Using temporal recalibration to improve the calibration of risk prediction models in competing risk settings when there are trends in survival over time. Statistics in medicine (2023)
Thais P Rocha, John Allotey, Alfredo Palacios, Joshua Peter Vogel, Luc Smits, Guillermo Carroli, Hema Mistry, Taryn Young, Zahida P Qureshi, Gabriela Cormick, Kym I E Snell, Edgardo Abalos, Juan-Pablo Pena-Rosas, Khalid Saeed Khan, Koiwah Koi Larbi, Anna Thorson, Mandisa Singata-Madliki, George Justus Hofmeyr, Meghan A Bohren, Richard D Riley, Ana Pilar Betran, Shakila Thangaratinam, null null
Calcium supplementation to prevent pre-eclampsia: protocol for an individual participant data meta-analysis, network meta-analysis and health economic evaluation. BMJ open 13 (5) (2023)
Richard D Riley, Gary Stephen Collins, Miriam Hattle, Rebecca Whittle, Joie Ensor
Calculating the power of a planned individual participant data meta-analysis of randomised trials to examine a treatment-covariate interaction with a time-to-event outcome. Research synthesis methods (2023)
Alexander Pate, Matthew Sperrin, Richard D Riley, Jamie C Sergeant, Tjeerd Pieter van Staa, Niels Peek, Mamas Andreas Mamas, Gregory Y H Lip, Martin O'Flaherty, Iain Edward Buchan, Glen Philip Martin
Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques. Statistics in medicine (2023)
Siang Ing Lee, Holly F Hope, Dermot O'Reilly, Lisa Kent, Gillian Santorelli, Anuradhaa Subramanian, Ngawai Moss, Amaya Azcoaga-Lorenzo, Adeniyi Francis Fagbamigbe, Catherine Nelson-Piercy, Christopher Yau, Colin McCowan, Jonathan Ian Kennedy, Katherine Phillips, Megha Singh, Mohamed Mhereeg, Neil Cockburn, Peter Brocklehurst, Rachel Plachcinski, Richard D Riley, Shakila Thangaratinam, Sinead Brophy, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe, Utkarsh Agrawal, Zoe Vowles, Kathryn Mary Abel, Krishnarajah Nirantharakumar, Mairead Black, Kelly-Ann Eastwood, null null
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK. BMJ open 13 (2) (2023)
Tom Hughes, Richard D Riley, Michael J Callaghan, Jamie C Sergeant
Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records. BMJ open 13 (1) (2023)
Thais P Rocha, John Allotey, Alfredo Palacios, Joshua Peter Vogel, Luc Smits, Guillermo Carroli, Hema Mistry, Taryn Young, Zahida P Qureshi, Gabriela Cormick, Kym I E Snell, Edgardo Abalos, Juan-Pablo Pena-Rosas, Khalid Saeed Khan, Koiwah Koi Larbi, Anna Thorson, Mandisa Singata-Madliki, George Justus Hofmeyr, Meghan A Bohren, Richard D Riley, Ana Pilar Betran, Shakila Thangaratinam, null null
Calcium supplementation to prevent pre-eclampsia: protocol for an individual participant data meta-analysis, network meta-analysis and health economic evaluation. BMJ open 13 (5) (2023)
Siang Ing Lee, Holly F Hope, Dermot O'Reilly, Lisa Kent, Gillian Santorelli, Anuradhaa Subramanian, Ngawai Moss, Amaya Azcoaga-Lorenzo, Adeniyi Francis Fagbamigbe, Catherine Nelson-Piercy, Christopher Yau, Colin McCowan, Jonathan Ian Kennedy, Katherine Phillips, Megha Singh, Mohamed Mhereeg, Neil Cockburn, Peter Brocklehurst, Rachel Plachcinski, Richard D Riley, Shakila Thangaratinam, Sinead Brophy, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe, Utkarsh Agrawal, Zoe Vowles, Kathryn Mary Abel, Krishnarajah Nirantharakumar, Mairead Black, Kelly-Ann Eastwood, null null
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK. BMJ open 13 (2) (2023)
Siang Ing Lee, Holly F Hope, Dermot O'Reilly, Lisa Kent, Gillian Santorelli, Anuradhaa Subramanian, Ngawai Moss, Amaya Azcoaga-Lorenzo, Adeniyi Francis Fagbamigbe, Catherine Nelson-Piercy, Christopher Yau, Colin McCowan, Jonathan Ian Kennedy, Katherine Phillips, Megha Singh, Mohamed Mhereeg, Neil Cockburn, Peter Brocklehurst, Rachel Plachcinski, Richard D Riley, Shakila Thangaratinam, Sinead Brophy, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe, Utkarsh Agrawal, Zoe Vowles, Kathryn Mary Abel, Krishnarajah Nirantharakumar, Mairead Black, Kelly-Ann Eastwood, null null
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK. BMJ open 13 (2) (2023)
Siobhán Stynes, Kym I E Snell, Richard D Riley, Kika Konstantinou, Andrea Cherrington, Noor Daud, Raymond W J G Ostelo, John O'Dowd, Nadine E Foster
Predictors of outcome in sciatica patients following an epidural steroid injection: the POiSE prospective observational cohort study protocol. BMJ open 13 (11) (2023)
Thais P Rocha, John Allotey, Alfredo Palacios, Joshua Peter Vogel, Luc Smits, Guillermo Carroli, Hema Mistry, Taryn Young, Zahida P Qureshi, Gabriela Cormick, Kym I E Snell, Edgardo Abalos, Juan-Pablo Pena-Rosas, Khalid Saeed Khan, Koiwah Koi Larbi, Anna Thorson, Mandisa Singata-Madliki, George Justus Hofmeyr, Meghan A Bohren, Richard D Riley, Ana Pilar Betran, Shakila Thangaratinam, null null
Calcium supplementation to prevent pre-eclampsia: protocol for an individual participant data meta-analysis, network meta-analysis and health economic evaluation. BMJ open 13 (5) (2023)
Thais P Rocha, John Allotey, Alfredo Palacios, Joshua Peter Vogel, Luc Smits, Guillermo Carroli, Hema Mistry, Taryn Young, Zahida P Qureshi, Gabriela Cormick, Kym I E Snell, Edgardo Abalos, Juan-Pablo Pena-Rosas, Khalid Saeed Khan, Koiwah Koi Larbi, Anna Thorson, Mandisa Singata-Madliki, George Justus Hofmeyr, Meghan A Bohren, Richard D Riley, Ana Pilar Betran, Shakila Thangaratinam, null null
Calcium supplementation to prevent pre-eclampsia: protocol for an individual participant data meta-analysis, network meta-analysis and health economic evaluation. BMJ open 13 (5) (2023)
Richard D Riley, Gary Stephen Collins
Stability of clinical prediction models developed using statistical or machine learning methods. Biometrical journal. Biometrische Zeitschrift (2023)
Richard D Riley, Joie Ensor, Miriam Hattle, Katerina Papadimitropoulou, Tim P Morris
Two-stage or not two-stage? That is the question for IPD meta-analysis projects. Research synthesis methods (2023)
Valentijn M T de Jong, Jeroen Hoogland, Karel G M Moons, Richard D Riley, Tri-Long Nguyen, Thomas P A Debray
Propensity-based standardization to enhance the validation and interpretation of prediction model discrimination for a target population. Statistics in medicine (2023)
Jeroen Hoogland, Thomas P A Debray, Michael J Crowther, Richard D Riley, Joanna IntHout, J B Reitsma, Aeilko H Zwinderman
Regularized parametric survival modeling to improve risk prediction models. Biometrical journal. Biometrische Zeitschrift (2023)
Tom Hughes, Richard D Riley, Michael J Callaghan, Jamie C Sergeant
Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records. BMJ open 13 (1) (2023)
Tom Hughes, Richard D Riley, Michael J Callaghan, Jamie C Sergeant
Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records. BMJ open 13 (1) (2023)
Thais P Rocha, John Allotey, Alfredo Palacios, Joshua Peter Vogel, Luc Smits, Guillermo Carroli, Hema Mistry, Taryn Young, Zahida P Qureshi, Gabriela Cormick, Kym I E Snell, Edgardo Abalos, Juan-Pablo Pena-Rosas, Khalid Saeed Khan, Koiwah Koi Larbi, Anna Thorson, Mandisa Singata-Madliki, George Justus Hofmeyr, Meghan A Bohren, Richard D Riley, Ana Pilar Betran, Shakila Thangaratinam, null null
Calcium supplementation to prevent pre-eclampsia: protocol for an individual participant data meta-analysis, network meta-analysis and health economic evaluation. BMJ open 13 (5) (2023)
Siang Ing Lee, Holly F Hope, Dermot O'Reilly, Lisa Kent, Gillian Santorelli, Anuradhaa Subramanian, Ngawai Moss, Amaya Azcoaga-Lorenzo, Adeniyi Francis Fagbamigbe, Catherine Nelson-Piercy, Christopher Yau, Colin McCowan, Jonathan Ian Kennedy, Katherine Phillips, Megha Singh, Mohamed Mhereeg, Neil Cockburn, Peter Brocklehurst, Rachel Plachcinski, Richard D Riley, Shakila Thangaratinam, Sinead Brophy, Sudasing Pathirannehelage Buddhika Hemali Sudasinghe, Utkarsh Agrawal, Zoe Vowles, Kathryn Mary Abel, Krishnarajah Nirantharakumar, Mairead Black, Kelly-Ann Eastwood, null null
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK. BMJ open 13 (2) (2023)
Tom Hughes, Richard D Riley, Michael J Callaghan, Jamie C Sergeant
Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records. BMJ open 13 (1) (2023)
Tom Hughes, Richard D Riley, Michael J Callaghan, Jamie C Sergeant
Can prognostic factors for indirect muscle injuries in elite football (soccer) players be identified using data from preseason screening? An exploratory analysis using routinely collected periodic health examination records. BMJ open 13 (1) (2023)
Thais P Rocha, John Allotey, Alfredo Palacios, Joshua Peter Vogel, Luc Smits, Guillermo Carroli, Hema Mistry, Taryn Young, Zahida P Qureshi, Gabriela Cormick, Kym I E Snell, Edgardo Abalos, Juan-Pablo Pena-Rosas, Khalid Saeed Khan, Koiwah Koi Larbi, Anna Thorson, Mandisa Singata-Madliki, George Justus Hofmeyr, Meghan A Bohren, Richard D Riley, Ana Pilar Betran, Shakila Thangaratinam, null null
Calcium supplementation to prevent pre-eclampsia: protocol for an individual participant data meta-analysis, network meta-analysis and health economic evaluation. BMJ open 13 (5) (2023)
Richard D Riley, Miriam Hattle, Gary Stephen Collins, Rebecca Whittle, Joie Ensor
Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome. Statistics in medicine 41 (24) (2022)
Megha Singh, Francesca L Crowe, Shakila Thangaratinam, Kathryn Mary Abel, Mairead Black, Kelvin Okoth, Richard D Riley, Kelly-Ann Eastwood, Holly Hope, Steven Wambua, Jemma Healey, Siang Ing Lee, Katherine Phillips, Zoe Vowles, Neil Cockburn, Ngawai Moss, Krishnarajah Nirantharakumar
Association of pregnancy complications/risk factors with the development of future long-term health conditions in women: overarching protocol for umbrella reviews. BMJ open 12 (12) (2022)
Richard D Riley, Sofia Dias, Sarah Donegan, Jayne F Tierney, Lesley A Stewart, Orestis Efthimiou, David M Phillippo
Using individual participant data to improve network meta-analysis projects. BMJ evidence-based medicine (2022)
Megha Singh, Francesca L Crowe, Shakila Thangaratinam, Kathryn Mary Abel, Mairead Black, Kelvin Okoth, Richard D Riley, Kelly-Ann Eastwood, Holly Hope, Steven Wambua, Jemma Healey, Siang Ing Lee, Katherine Phillips, Zoe Vowles, Neil Cockburn, Ngawai Moss, Krishnarajah Nirantharakumar
Association of pregnancy complications/risk factors with the development of future long-term health conditions in women: overarching protocol for umbrella reviews. BMJ open 12 (12) (2022)
Megha Singh, Francesca L Crowe, Shakila Thangaratinam, Kathryn Mary Abel, Mairead Black, Kelvin Okoth, Richard D Riley, Kelly-Ann Eastwood, Holly Hope, Steven Wambua, Jemma Healey, Siang Ing Lee, Katherine Phillips, Zoe Vowles, Neil Cockburn, Ngawai Moss, Krishnarajah Nirantharakumar
Association of pregnancy complications/risk factors with the development of future long-term health conditions in women: overarching protocol for umbrella reviews. BMJ open 12 (12) (2022)
Megha Singh, Francesca L Crowe, Shakila Thangaratinam, Kathryn Mary Abel, Mairead Black, Kelvin Okoth, Richard D Riley, Kelly-Ann Eastwood, Holly Hope, Steven Wambua, Jemma Healey, Siang Ing Lee, Katherine Phillips, Zoe Vowles, Neil Cockburn, Ngawai Moss, Krishnarajah Nirantharakumar
Association of pregnancy complications/risk factors with the development of future long-term health conditions in women: overarching protocol for umbrella reviews. BMJ open 12 (12) (2022)
Saeed Farooq, Miriam Hattle, Paola Dazzan, Tom Kingstone, Olesya Ajnakina, David Shiers, Maria Antonietta Nettis, Andrew Lawrence, Richard D Riley, Danielle A van der Windt
Study protocol for the development and internal validation of Schizophrenia Prediction of Resistance to Treatment (SPIRIT): a clinical tool for predicting risk of treatment resistance to antipsychotics in first-episode schizophrenia. BMJ open 12 (4) (2022)
Constanza L Andaur Navarro, Johanna A A G Damen, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Jie Ma, Gary Stephen Collins, Ram Chandra Bajpai, Richard D Riley, Karel G M Moons, Lotty Hooft
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review. BMC medical research methodology 22 (1) (2022)
Megha Singh, Francesca L Crowe, Shakila Thangaratinam, Kathryn Mary Abel, Mairead Black, Kelvin Okoth, Richard D Riley, Kelly-Ann Eastwood, Holly Hope, Steven Wambua, Jemma Healey, Siang Ing Lee, Katherine Phillips, Zoe Vowles, Neil Cockburn, Ngawai Moss, Krishnarajah Nirantharakumar
Association of pregnancy complications/risk factors with the development of future long-term health conditions in women: overarching protocol for umbrella reviews. BMJ open 12 (12) (2022)
Richard D Riley, Thomas P A Debray, Gary S Collins, Lucinda Archer, Joie Ensor, Maarten van Smeden, Kym I E Snell
Minimum sample size for external validation of a clinical prediction model with a binary outcome. Statistics in medicine 40 (19) (2021)
Fay Crawford, Francesca M Chappell, James Lewsey, Richard D Riley, Neil Hawkins, Donald J Nicolson, Robert Heggie, Marie Smith, Margaret Horne, Aparna Amanna, Angela Martin, Saket Gupta, Karen Gray, David Weller, Julie Brittenden, Graham P Leese
Risk assessments and structured care interventions for prevention of foot ulceration in diabetes: development and validation of a prognostic model. Health technology assessment (Winchester, England) 24 (62) (2021)
Gary Stephen Collins, Paula Dhiman, Constanza L Andaur Navarro, Jie Ma, Lotty Hooft, Johannes B Reitsma, Patrícia Logullo, Andrew L Beam, Lily Peng, Ben Van Calster, Maarten van Smeden, Richard D Riley, Karel Gm Moons
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. BMJ open 11 (7) (2021)
John Allotey, Kym I E Snell, Melanie Smuk, Richard L Hooper, Claire Louise Chan, Asif Ahmed, Lucy C Chappell, Peter Von Dadelszen, Julie Dodds, Marcus Green, Louise C Kenny, Asma Khalil, Khalid Saeed Khan, Ben-Willem J Mol, Jenny E Myers, Lucilla Poston, Baskaran Thilaganathan, Anne Cathrine Staff, Gordon C S Smith, Wessel J Ganzevoort, Hannele Laivuori, Anthony O Odibo, Javier A Ramírez, John C Kingdom, Georgios Daskalakis, Diane Farrar, Ahmet Alexander Baschat, Paul T Seed, Federico Prefumo, Fabrício da Silva Costa, Henk Groen, Francois Audibert, Jacques Masse, Ragnhild B Skråstad, Kjell Å Salvesen, Camilla Haavaldsen, Chie Nagata, Alice R Rumbold, Seppo Heinonen, Lisa M Askie, Luc J M Smits, Christina Anne Vinter, Per M Magnus, Kajantie Eero, Pia M Villa, Anne Karen Jenum, Louise B Andersen, Jane E Norman, Akihide Ohkuchi, Anne Eskild, Sohinee Bhattacharya, Fionnuala M Mcauliffe, Alberto Galindo Izquierdo, Ignacio Herraiz García, Lionel Carbillon, Kerstin Klipstein-Grobusch, SeonAe Yeo, Helena J Teede, Joyce L Browne, Karel G M Moons, Richard D Riley, Shakila Thangaratinam
Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis. Health technology assessment (Winchester, England) 24 (72) (2021)
Richard D Riley, Gary Stephen Collins, Joie Ensor, Lucinda Archer, Sarah Booth, Sarwar Islam Mozumder, Mark J Rutherford, Maarten van Smeden, Paul C Lambert, Kym I E Snell
Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome. Statistics in medicine 41 (7) (2021)
Joie Ensor, Kym I E Snell, Thomas P A Debray, Paul C Lambert, Maxime P Look, Mamas A Mamas, Karel G M Moons, Richard D Riley
Individual participant data meta-analysis for external validation, recalibration, and updating of a flexible parametric prognostic model. Statistics in medicine 40 (13) (2021)
Valentijn M T de Jong, Karel G M Moons, Marinus J C Eijkemans, Richard D Riley, Thomas P A Debray
Developing more generalizable prediction models from pooled studies and large clustered data sets. Statistics in medicine 40 (15) (2021)
Garrett Scott Bullock, Tom Hughes, Jamie C Sergeant, Michael J Callaghan, Richard D Riley, Gary Stephen Collins
Methods matter: clinical prediction models will benefit sports medicine practice, but only if they are properly developed and validated. British journal of sports medicine 55 (23) (2021)
Glen Philip Martin, Matthew Sperrin, Kym I E Snell, Iain Buchan, Richard D Riley
Authors' reply to Sabour and Ghajari "Clinical prediction models to predict the risk of multiple binary outcomes: Methodological issues". Statistics in medicine 40 (7) (2021)
Jeroen Hoogland, Joanna IntHout, Michail Belias, Maroeska M Rovers, Richard D Riley, Frank E Harrell, Karel G M Moons, Thomas P A Debray, Johannes B Reitsma
A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint. Statistics in medicine 40 (26) (2021)
Francesca M Chappell, Fay Crawford, Margaret Horne, Graham P Leese, Angela Martin, David Weller, Andrew J M Boulton, Caroline A Abbott, Matilde Monteiro Soares, Aristidis Veves, Richard D Riley
Development and validation of a clinical prediction rule for development of diabetic foot ulceration: an analysis of data from five cohort studies. BMJ open diabetes research & care 9 (1) (2021)
Sarah Jane Stock, Margaret Horne, Merel Bruijn, Helen K White, Robert Heggie, Lisa Wotherspoon, Kathleen Anne Boyd, Lorna Aucott, Rachel Katie Morris, Jon Dorling, Lesley Jackson, Manju Chandiramani, Anna Louise David, Asma Khalil, Andrew H Shennan, Gert-Jan van Baaren, Victoria Hodgetts Morton, Tina Lavender, Ewoud Schuit, Susan Harper-Clarke, Ben-Willem J Mol, Richard D Riley, Jane E Norman, John Dt Norrie
A prognostic model, including quantitative fetal fibronectin, to predict preterm labour: the QUIDS meta-analysis and prospective cohort study. Health technology assessment (Winchester, England) 25 (52) (2021)
Constanza L Andaur Navarro, Johanna A A G Damen, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Jie Ma, Gary Stephen Collins, Ram Chandra Bajpai, Richard D Riley, Karel G M Moons, Lotty Hooft
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review. BMJ (Clinical research ed.) 375 (2021)
Richard D Riley, Amardeep Legha, Dan Jackson, Tim P Morris, Joie Ensor, Kym I E Snell, Ian R White, Danielle L Burke
One-stage individual participant data meta-analysis models for continuous and binary outcomes: Comparison of treatment coding options and estimation methods. Statistics in medicine 39 (19) (2020)
Richard D Riley, Joie Ensor, Kym I E Snell, Frank E Harrell, Glen Philip Martin, Johannes B Reitsma, Karel G M Moons, Gary Stephen Collins, Maarten van Smeden
Calculating the sample size required for developing a clinical prediction model. BMJ (Clinical research ed.) 368 (2020)
Lucinda Archer, Kym I E Snell, Joie Ensor, Mohammed T Hudda, Gary Stephen Collins, Richard D Riley
Minimum sample size for external validation of a clinical prediction model with a continuous outcome. Statistics in medicine 40 (1) (2020)
Richard D Riley, Thomas P A Debray, David Fisher, Miriam Hattle, Nadine Marlin, Jeroen Hoogland, Francois Gueyffier, Jan A Staessen, Jiguang Wang, Karel G M Moons, Johannes B Reitsma, Joie Ensor
Individual participant data meta-analysis to examine interactions between treatment effect and participant-level covariates: Statistical recommendations for conduct and planning. Statistics in medicine 39 (15) (2020)
Valentijn M T de Jong, Karel G M Moons, Richard D Riley, Catrin Tudur Smith, Anthony G Marson, Marinus J C Eijkemans, Thomas P A Debray
Individual participant data meta-analysis of intervention studies with time-to-event outcomes: A review of the methodology and an applied example. Research synthesis methods 11 (2) (2020)
Richard D Riley, Ben Van Calster, Gary Stephen Collins
A note on estimating the Cox-Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a binary outcome. Statistics in medicine 40 (4) (2020)
Glen Philip Martin, Matthew Sperrin, Kym I E Snell, Iain Buchan, Richard D Riley
Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches. Statistics in medicine 40 (2) (2020)
Malcolm J Price, Helen A Blake, Sara Kenyon, Ian R White, Dan Jackson, Jamie J Kirkham, James P Neilson, Jonathan J Deeks, Richard D Riley
Empirical comparison of univariate and multivariate meta-analyses in Cochrane Pregnancy and Childbirth reviews with multiple binary outcomes. Research synthesis methods 10 (3) (2019)
Richard D Riley, Karel G M Moons, Kym I E Snell, Joie Ensor, Lotty Hooft, Douglas G Altman, Jill Hayden, Gary S Collins, Thomas P A Debray
A guide to systematic review and meta-analysis of prognostic factor studies. BMJ (Clinical research ed.) 364 (2019)
Richard D Riley, Kym Ie Snell, Joie Ensor, Danielle L Burke, Frank E Harrell, Karel Gm Moons, Gary Stephen Collins
Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes. Statistics in medicine 38 (7) (2018)
Richard D Riley, Kym I E Snell, Joie Ensor, Danielle L Burke, Frank E Harrell, Karel G M Moons, Gary Stephen Collins
Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes. Statistics in medicine 38 (7) (2018)
Amardeep Legha, Richard D Riley, Joie Ensor, Kym I E Snell, Tim P Morris, Danielle L Burke
Individual participant data meta-analysis of continuous outcomes: A comparison of approaches for specifying and estimating one-stage models. Statistics in medicine 37 (29) (2018)
Laure Wynants, Richard D Riley, Dirk Timmerman, Ben Van Calster
Random-effects meta-analysis of the clinical utility of tests and prediction models. Statistics in medicine 37 (12) (2018)

Richard D Riley.css-eqlu8i{font-size:small;padding-left:4px;} (Richard Riley, R D Riley)

Publication Activity (10 Years)

Top Topics

Top Venues

Richard D Riley (Richard Riley, R D Riley)