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dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts

2024-12-25

Abstract excerpt

There is growing interest in estimating population reference ranges across age and sex to better identify atypical clinically-relevant measurements throughout the lifespan. For this task, the World Health Organization recommends using Generalized Additive Models for Location, Scale, and Shape (GAMLSS) which can model non-linear growth trajectories under complex distributions that address the heterogeneity in human...

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Literature Corpus work
8cf2042a-c84b-50ce-83d1-73677e90d8a4
DOI
10.1101/2024.12.20.629834
Open publication

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dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference chartsDOI 10.1101/2024.12.20.629834
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