Richard D Riley
- PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
2018/12/31 by Robert Wolff, Robert F. Wolff, Karel G.M. Moons +11 · 57 citations
Decision Sciences · Economics, Econometrics and Finance · Medicine · #Meta-analysis and systematic reviews #Health Systems, Economic Evaluations, Quality of Life #Clinical practice guidelines implementation
- Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
2018/10/24 by Richard D Riley, Kym I E Snell, Kym IE Snell +9 · 21 citations
Economics, Econometrics and Finance · #Health Systems, Economic Evaluations, Quality of Life
- Calculating the sample size required for developing a clinical prediction model
2020/03/18 by Richard D Riley, Joie Ensor, Kym I E Snell +6 · 23 citations
Decision Sciences · Mathematics · Medicine · #Meta-analysis and systematic reviews #Sepsis Diagnosis and Treatment #Statistical Methods in Epidemiology
- TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024/04/16 by Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman +31 · 1 voice · 30 citations
Medicine · Decision Sciences · Health Professions · #Artificial Intelligence in Healthcare and Education #Meta-analysis and systematic reviews #Healthcare cost, quality, practices
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
2020/04/07 by Laure Wynants, Ben Van Calster, Professor Gary S. Collins +54 · 21 citations
Medicine · #COVID-19 Clinical Research Studies #COVID-19 diagnosis using AI #SARS-CoV-2 detection and testing
- Meta-analysis of individual participant data: rationale, conduct, and reporting
2010/02/05 by Richard D Riley, Paul C. Lambert, Ghada Abo-Zaid · 1 voice · 6 citations
Decision Sciences · Medicine · #Meta-analysis and systematic reviews #Clinical practice guidelines implementation #Peripheral Artery Disease Management
- Stability of clinical prediction models developed using statistical or machine learning methods
2023/07/19 by Richard D Riley, Richard D. Riley, Professor Gary S. Collins +1 · 10 citations
Computer Science · Medicine · Decision Sciences · #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment #Meta-analysis and systematic reviews
- A tutorial on individualized treatment effect prediction from randomized trials with a binary endpoint
2021/08/16 by Jeroen Hoogland, Joanna IntHout, Michail Belias +9 · 3 citations
Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #Health Systems, Economic Evaluations, Quality of Life #Statistical Methods and Inference
- Clinical prediction models and the multiverse of madness
2023/12/18 by Richard D Riley, Alexander Pate, Paula Dhiman +3 · 1 voice · 3 citations
Computer Science · Medicine · #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)
- Testing small study effects in multivariate meta-analysis
2018/05/24 by Chuan Hong, Georgia Salanti, Hong, Chuan +11 · 1 citation
Decision Sciences · Mathematics · #FOS: Computer and information sciences #Meta-analysis and systematic reviews #Methodology (stat.ME) #Statistical Methods in Clinical Trials
- Individual participant data meta‐analysis of continuous outcomes: A comparison of approaches for specifying and estimating one‐stage models
2018/08/13 by Amardeep Legha, Richard D Riley, Joie Ensor +3 · 1 voice · 1 citation
Decision Sciences · Mathematics · #Meta-analysis and systematic reviews #Statistical Methods and Bayesian Inference #Statistical Methods in Clinical Trials
- Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
2023/01/19 by Alexander Pate, Richard D Riley, Professor Gary S. Collins +6 · 1 citation
Mathematics · #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials
- Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches
2025/02/13 by Richard D Riley, Professor Gary S. Collins, Laura Kirton +17 · 1 voice · 2 citations
Medicine · Computer Science · Decision Sciences · #Sepsis Diagnosis and Treatment #Machine Learning in Healthcare #Meta-analysis and systematic reviews
- 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
2020/01/23 by Farid Foroutan, Gordon Guyatt, Victoria Zuk +21 · 1 citation
Decision Sciences · Economics, Econometrics and Finance · Medicine · #Cancer survivorship and care #Health Systems, Economic Evaluations, Quality of Life #Meta-analysis and systematic reviews