Research graph
References from Comparison of Methods for Incorporating Related Data When Developing Clinical Prediction Models: A Simulation Study. Local targets link to admitted publications; unresolved targets remain external evidence.
What Do We Mean by Validating a Prognostic Model?
10.1002/(sici)1097-0258(20000229)19:4<453::aid-sim350>3.0.co;2-5 · 2000 · External reference
A Comparative Analysis of Predictive Models of Morbidity in Intensive Care Unit After Cardiac Surgery—Part I: Model Planning
10.1186/1472-6947-7-35 · 2007 · External reference
Using Temporal Recalibration to Improve the Calibration of Risk Prediction Models in Competing Risk Settings When There Are Trends in Survival Over Time
10.1002/sim.9898 · 2023 · External reference
The Importance of Being External. Methodological Insights for the External Validation of Machine Learning Models in Medicine
10.1016/j.cmpb.2021.106288 · 2021 · External reference
Evaluation of Clinical Prediction Models (Part 1): From Development to External Validation
10.1136/bmj-2023-074819 · 2024 · External reference
TRIPOD+ AI Statement: Updated Guidance for Reporting Clinical Prediction Models That Use Regression or Machine Learning Methods
10.1136/bmj-2023-078378 · 2024 · External reference
Maintaining a National Acute Kidney Injury Risk Prediction Model to Support Local Quality Benchmarking
2022 · External reference
A Nonparametric Updating Method to Correct Clinical Prediction Model Drift
10.1093/jamia/ocz127 · 2019 · External reference
Aggregating Published Prediction Models With Individual Participant Data: A Comparison of Different Approaches
10.1002/sim.5412 · 2012 · External reference
A New Framework to Enhance the Interpretation of External Validation Studies of Clinical Prediction Models
10.1016/j.jclinepi.2014.06.018 · 2015 · External reference
Developing Clinical Prediction Models: A Step‐by‐Step Guide
10.1136/bmj-2023-078276 · 2024 · External reference
Correcting for Case‐Mix Shift When Developing Clinical Prediction Models
10.1186/s12874-025-02621-2 · 2025 · External reference
Development and Validation of the Predictive Risk of Death Model for Adult Patients Admitted to Intensive Care Units in Japan: An Approach to Improve the Accuracy of Healthcare Quality Measures
10.1186/s40560-021-00533-z · 2021 · External reference
Incidence and Predictors of Out‐of‐Hospital Cardiac Arrest Within 90 Days After Myocardial Infarction
10.1016/j.jacc.2020.10.033 · 2020 · External reference
Clinical Artificial Intelligence Quality Improvement: Towards Continual Monitoring and Updating of AI Algorithms in Healthcare
10.1038/s41746-022-00611-y · 2022 · External reference
The Nottingham Prognostic Index in Primary Breast Cancer
10.1007/bf01840834 · 1992 · External reference
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine
10.1055/s-0041-1735184 · 2021 · External reference
Unresolved reference
2016 · External reference
Phases of Methodological Research in Biostatistics—Building the Evidence Base for New Methods
10.1002/bimj.202200222 · 2022 · External reference
Dynamic Trends in Cardiac Surgery: Why the Logistic EuroSCORE Is No Longer Suitable for Contemporary Cardiac Surgery and Implications for Future Risk Models
10.1093/ejcts/ezs584 · 2013 · External reference
Development and Validation of QRISK3 Risk Prediction Algorithms to Estimate Future Risk of Cardiovascular Disease: Prospective Cohort Study
10.1136/bmj.j2099 · 2017 · External reference
Ready‐Made, Recalibrated, or Remodeled? Issues in the Use of Risk Indexes for Assessing Mortality After Coronary Artery Bypass Graft Surgery
10.1161/01.cir.99.16.2098 · 1999 · External reference
Updating Methods Improved the Performance of a Clinical Prediction Model in New Patients
10.1016/j.jclinepi.2007.04.018 · 2008 · External reference
The Swedish Web‐System for Enhancement and Development of Evidence‐Based Care in Heart Disease Evaluated According to Recommended Therapies (SWEDEHEART)
10.1136/hrt.2010.198804 · 2010 · External reference
The APACHE III Prognostic System: Risk Prediction of Hospital Mortality for Critically III Hospitalized Adults
10.1378/chest.100.6.1619 · 1991 · External reference
FUTURE‐AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare
10.1136/bmj-2024-081554 · 2025 · External reference
Prognosis and Prognostic Research: Application and Impact of Prognostic Models in Clinical Practice
10.1136/bmj.b606 · 2009 · External reference
A Unifying View on Dataset Shift in Classification
10.1016/j.patcog.2011.06.019 · 2012 · External reference
Using Simulation Studies to Evaluate Statistical Methods
10.1002/sim.8086 · 2019 · External reference
Euroscore II
10.1093/ejcts/ezs043 · 2012 · External reference
A Survey on Transfer Learning
10.1109/tkde.2009.191 · 2010 · External reference
Impact of Sample Size on the Stability of Risk Scores From Clinical Prediction Models: A Case Study in Cardiovascular Disease
10.1186/s41512-020-00082-3 · 2020 · External reference
Evaluation of a Decided Sample Size in Machine Learning Applications
10.1186/s12859-023-05156-9 · 2023 · External reference
External Validation of Prognostic Models: What, Why, How, When and Where?
10.1093/ckj/sfaa188 · 2021 · External reference
Stability of Clinical Prediction Models Developed Using Statistical or Machine Learning Methods
10.1002/bimj.202200302 · 2023 · External reference
Calculating the Sample Size Required for Developing a Clinical Prediction Model
10.1136/bmj.m441 · 2020 · External reference
Clinical Prediction Models and the Multiverse of Madness
10.1186/s12916-023-03212-y · 2023 · External reference
Minimum Sample Size for Developing a Multivariable Prediction Model: PART II‐Binary and Time‐to‐Event Outcomes
10.1002/sim.7992 · 2019 · External reference
A Note on Estimating the Cox‐Snell R 2 From a Reported C Statistic (AUROC) to Inform Sample Size Calculations for Developing a Prediction Model With a Binary Outcome
10.1002/sim.8806 · 2021 · External reference
pROC: An Open‐Source Package for R and S+ to Analyze and Compare ROC Curves
10.1186/1471-2105-12-77 · 2011 · External reference
Methods for Updating a Risk Prediction Model for Cardiac Surgery: A Statistical Primer
10.1093/icvts/ivy338 · 2019 · External reference
Targeted Validation: Validating Clinical Prediction Models in Their Intended Population and Setting
10.1186/s41512-022-00136-8 · 2022 · External reference
Unresolved reference
2009 · External reference
Validation and Updating of Predictive Logistic Regression Models: A Study on Sample Size and Shrinkage
10.1002/sim.1844 · 2004 · External reference
Internal Validation of Predictive Models: Efficiency of Some Procedures for Logistic Regression Analysis
10.1016/s0895-4356(01)00341-9 · 2001 · External reference
Improving Patient Prostate Cancer Risk Assessment: Moving From Static, Globally‐Applied to Dynamic, Practice‐Specific Risk Calculators
10.1016/j.jbi.2015.05.001 · 2015 · External reference
Validation, Updating and Impact of Clinical Prediction Rules: A Review
10.1016/j.jclinepi.2008.04.008 · 2008 · External reference
Calibration: The Achilles Heel of Predictive Analytics
10.1186/s12916-019-1466-7 · 2019 · External reference
A Calibration Hierarchy for Risk Models Was Defined: From Utopia to Empirical Data
10.1016/j.jclinepi.2015.12.005 · 2016 · External reference
The Risks of Risk Assessment: Causal Blind Spots When Using Prediction Models for Treatment Decisions
10.7326/annals-24-00279 · 2025 · External reference
A Closed Testing Procedure to Select an Appropriate Method for Updating Prediction Models
10.1002/sim.7179 · 2017 · External reference
