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Article

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

2020-12-29

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> 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 decision. In addition, we aim to provide guidelines for how to deal with loss to foll...

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Literature Corpus work
473c142f-0f82-58dd-82b1-12118e01ac1f
DOI
10.21203/rs.3.rs-54715/v3
Open publication

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An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort designDOI 10.21203/rs.3.rs-54715/v3
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