An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design

Abstract Background Researchers developing prediction models are faced with numerous design choices that may impact model performance. One key decision is how to include patients who are lost to follow-up. In this paper we perform a large-scale empirical evaluation investigating the impact of this d...

Cijeli opis

Bibliografski detalji

Glavni autori:	Jenna M. Reps, Peter Rijnbeek, Alana Cuthbert, Patrick B. Ryan, Nicole Pratt, Martijn Schuemie
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2021-02-01
Serija:	BMC Medical Informatics and Decision Making
Teme:	Prognostic model Loss to follow-up Censoring PatientLevelPrediction Best practices Model development
Online pristup:	https://doi.org/10.1186/s12911-021-01408-x
Oznake:	Dodaj oznaku Bez oznaka, Budi prvi tko označuje ovaj zapis!