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Article

Adaptive predictor-set linear model: an imputation-free method for linear regression prediction on datasets with missing values

2024-02-21

Abstract excerpt

<h4>Summary</h4> Linear regression (LR) is vastly used in data analysis for continuous outcomes in biomedicine and epidemiology. Despite its popularity, LR is incompatible with missing data, which frequently occur in health sciences. For parameter estimation, this short-coming is usually resolved by complete-case analysis or imputation. Both workarounds, however, are inadequate for prediction, since they either f...

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Literature Corpus work
78bfebf7-7829-5c90-865a-ca94fb340c3d
DOI
10.1101/2024.02.19.581027
Open publication

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Adaptive predictor-set linear model: an imputation-free method for linear regression prediction on datasets with missing valuesDOI 10.1101/2024.02.19.581027
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