Related references
Note: Only part of the references are listed.Calculating the sample size required for developing a clinical prediction model
Richard D. Riley et al.
BMJ-BRITISH MEDICAL JOURNAL (2020)
A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes
Thomas P. A. Debray et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2019)
The Integrated Calibration Index (ICI) and related metrics for quantifying the calibration of logistic regression models
Peter C. Austin et al.
STATISTICS IN MEDICINE (2019)
Calibration: the Achilles heel of predictive analytics
Ben van Calster et al.
BMC MEDICINE (2019)
Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes
Richard D. Riley et al.
STATISTICS IN MEDICINE (2019)
Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes
Richard D. Riley et al.
STATISTICS IN MEDICINE (2019)
A guide to systematic review and meta-analysis of prediction model performance
Thomas P. A. Debray et al.
BMJ-BRITISH MEDICAL JOURNAL (2017)
A guide to systematic review and meta-analysis of prediction model performance
Thomas P. A. Debray et al.
BMJ-BRITISH MEDICAL JOURNAL (2017)
Sample size calculation to externally validate scoring systems based on logistic regression models
Antonio Palazon-Bru et al.
PLOS ONE (2017)
Comparing distributions of polygenic risk scores of type 2 diabetes and coronary heart disease within different populations
Sulev Reisberg et al.
PLOS ONE (2017)
Prediction of complications in early-onset pre-eclampsia (PREP): development and external multinational validation of prognostic models
Shakila Thangaratinam et al.
BMC MEDICINE (2017)
Sample size considerations for the external validation of a multivariable prognostic model: a resampling study
Gary S. Collins et al.
STATISTICS IN MEDICINE (2016)
A calibration hierarchy for risk models was defined: from utopia to empirical data
Ben Van Calster et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2016)
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
Andrew J. Vickers et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
Andrew J. Vickers et al.
BMJ-BRITISH MEDICAL JOURNAL (2016)
Discrimination-based sample size calculations for multivariable prognostic models for time-to-event data
Rachel C. Jinks et al.
BMC MEDICAL RESEARCH METHODOLOGY (2015)
A new framework to enhance the interpretation of external validation studies of clinical prediction models
Thomas P. A. Debray et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2015)
Calibration of Risk Prediction Models: Impact on Decision-Analytic Performance
Ben Van Calster et al.
MEDICAL DECISION MAKING (2015)
Assessing Risk Prediction Models Using Individual Participant Data From Multiple Studies
Lisa Pennells et al.
AMERICAN JOURNAL OF EPIDEMIOLOGY (2014)
External validation of multivariable prediction models: a systematic review of methodological conduct and reporting
Gary S. Collins et al.
BMC MEDICAL RESEARCH METHODOLOGY (2014)
Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers
Peter C. Austin et al.
STATISTICS IN MEDICINE (2014)
Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable
Peter C. Austin et al.
BMC MEDICAL RESEARCH METHODOLOGY (2012)
Can the predictive studies be trusted?
Helene Vaillant-Roussel et al.
EXERCER-LA REVUE FRANCOPHONE DE MEDECINE GENERALE (2012)
Reporting and Methods in Clinical Prediction Research: A Systematic Review
Walter Bouwmeester et al.
PLOS MEDICINE (2012)
Decision curve analysis: A novel method for evaluating prediction models
Andrew J. Vickers et al.
MEDICAL DECISION MAKING (2006)
Substantial effective sample sizes were required for external validation studies of predictive logistic regression models
Y Vergouwe et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2005)
Share Paper
