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Covariate Adjusted Logit Model (CALM) for Generating Dose-Response Curves from Observational Data with Applications to Vaccine Effectiveness Trials

2025-02-21

Abstract excerpt

Establishing dose-response relationships from observational data is challenging due to confounding and sample selection bias. Standard causal methods adjust for confounding but typically require knowledge of covariate distributions in the target population—often via a well-defined probability sampling scheme. We propose the Covariate Adjusted Logit Model (CALM), which generalizes log-linear structural mean models...

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Literature Corpus work
5f6e28ea-6dfd-545b-acda-a8dccd06bea7
DOI
10.1101/2025.02.18.24319273
Open publication

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Covariate Adjusted Logit Model (CALM) for Generating Dose-Response Curves from Observational Data with Applications to Vaccine Effectiveness TrialsDOI 10.1101/2025.02.18.24319273
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