Objective To review and appraise the validity and usefulness of published and preprint reports
of prediction models for prognosis of patients with covid-19, and for detecting people in …

Prediction models are developed to aid health care providers in estimating the probability or
risk that a specific disease or condition is present (diagnostic models) or that a specific …

In most situations, simple techniques for handling missing data (such as complete case
analysis, overall mean imputation, and the missing-indicator method) produce biased results, …

Background Previous studies have relied predominantly on the body-mass index (BMI, the
weight in kilograms divided by the square of the height in meters) to assess the association of …

Background Survivors of critical illness often have a prolonged and disabling form of cognitive
impairment that remains inadequately characterized. Methods We enrolled adults with …

… Collins, Altman, Moons, and Reitsma) to organize and coordinate the development of
TRIPOD. We conducted a systematic search of MEDLINE, EMBASE, PsycINFO, and Web of …

… Karel GM Moons, professor of clinical epidemiology1, … In this first article in a series
Karel Moons and colleagues explain why research into prognosis is important and how to …

… Karel GM Moons, professor of clinical epidemiology2 … Justice AC, Covinsky KE, Berlin
JA. Assessing the generalizability of prognostic information. Ann Intern Med 1999;130:515-24 …

Carl Moons and colleagues provide a checklist and background explanation for critically
appraising and extracting data from systematic reviews of prognostic and diagnostic …

… in biostatistics1, Frank E Harrell Jr professor of biostatistics2, Glen P Martin lecturer in health
data sciences3, Johannes B Reitsma associate professor4, Karel GM Moons professor of …