Article

Clinical Prediction Models: Foundational Concepts

2025-10-27

Abstract excerpt

<h4>Background: </h4> Clinical prediction requires formalizing uncertainty into a statistical model. However, persistent confusion between prediction and inference, and between traditional (stepwise) and modern (penalized) development strategies, leads to unstable, poorly calibrated, and overfit models. A structured statistical framework is essential. <h4>Methods:</h4> This article is a structured, didactic tutori...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 319b6cbc-fd9e-5950-91f5-99ec7329a303
DOI: 10.20944/preprints202510.1981.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Clinical Prediction Models: Foundational ConceptsDOI 10.20944/preprints202510.1981.v1Read

Comprehensive, Transparent, and Fair Machine Learning Models for Hypertension Risk Prediction: Benchmarking With Framingham, External Validation, Individual-Level Analysis, and Equitable Clinical UtilitySemantic proximity Read

Predictive Modeling for Chronic Disease Management: A Comprehensive StudySemantic proximity Read

A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health dataSemantic proximity Read

Cardiovascular risk scores for primary prevention: head-to-head validation of 16 established and contemporary modelsSemantic proximity Read

COVID-19 Mortality Risk Prediction using Clinical and Laboratory Examination: Machine Learning Approach for ImplementationSemantic proximity Read

Prediction performance of a cardiovascular risk assessment tool using Stanford EHR data repositorySemantic proximity Read

Development and validation of interpretable Bayes machine learning model for risk adjustment of general outcome indicators: An example from UrologySemantic proximity Read

Empirical Sample Size Determination for Popular Classification Algorithms in Clinical ResearchSemantic proximity Read

B4-2: Risk Engine Evaluation Software: An Analytics Platform for Individualized GuidelinesSemantic proximity Read

Assessment of risk prediction models for chronic kidney disease: a global perspectiveSemantic proximity Read

Improving cardiovascular risk prediction beyond pooled cohort equations: a prospective cohort of 304,356 participantsSemantic proximity Read

Predicting the risk of incident hypertension and increase in blood pressure: A systematic review of existing prediction models for adultsSemantic proximity Read