vix.ing · top · new · best · stats · spec

Joie Ensor

  1. 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
  2. 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
  3. 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
  4. 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
  5. Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
    2023/01/19 by Alexander Pate, Richard D Riley, Gary S Collins +6 · 1 citation
    Mathematics · #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  6. 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