Article

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

2021-03-26

Abstract excerpt

<h4>Background and Objective</h4> As a response to the ongoing COVID-19 pandemic, several prediction models have been rapidly developed, with the aim of providing evidence-based guidance. However, no COVID-19 prediction model in the existing literature has been found to be reliable. Models are commonly assessed to have a risk of bias, often due to insufficient reporting, use of non-representative data, and lack of...

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Literature Corpus work: 759a143e-eed3-5bae-8000-dfae92e213f2
DOI: 10.1101/2021.03.23.21254098

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