Inverse Probability Weighting Enhances Absolute Risk Estimation in Three Common Study Designs of Nosocomial Infections | Zendy

Paulina Staus | Zendy; Maja von Cube | Zendy; Derek Hazard | Zendy; Sam Doerken | Zendy; Ksenia Ershova | Zendy; James Balmford | Zendy; Martin Wolkewitz | Zendy

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Inverse Probability Weighting Enhances Absolute Risk Estimation in Three Common Study Designs of Nosocomial Infections

Author(s) -

Paulina Staus,

Maja von Cube,

Derek Hazard,

Sam Doerken,

Ksenia Ershova,

James Balmford,

Martin Wolkewitz

Publication year - 2022

Publication title -

clinical epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.868

H-Index - 58

ISSN - 1179-1349

DOI - 10.2147/clep.s357494

Subject(s) - inverse probability weighting , weighting , statistics , inverse probability , absolute risk reduction , medicine , point estimation , selection bias , estimation , population , estimator , cohort , selection (genetic algorithm) , marginal structural model , cohort study , odds , econometrics , confidence interval , computer science , mathematics , posterior probability , logistic regression , environmental health , bayesian probability , machine learning , engineering , radiology , systems engineering

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