Flexible modelling of vaccine effect in self-controlled case series models

DOI10.1002/BIMJ.201400257zbMath1386.62049OpenAlexW2109513585WikidataQ40400467 ScholiaQ40400467MaRDI QIDQ2806848

Yonas Ghebremichael-Weldeselassie, Heather J. Whitaker, C. Paddy Farrington

Publication date: 19 May 2016

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: http://oro.open.ac.uk/46255/1/smoothexposure.pdf

zbMATH Keywords

smoothingrisk functionvaccinesM-splinesself-controlled case series

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (1)

A case-base sampling method for estimating recurrent event intensities

Uses Software

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Cites Work

• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Balancing the NHS balanced scorecard!
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• Fast Computation of Fully Automated Log-Density and Log-Hazard Estimators
• A Penalized Likelihood Approach for Arbitrarily Censored and Truncated Data: Application to Age-Specific Incidence of Dementia
• Analysis of Exposure‐Time‐Response Relationships Using a Spline Weight Function
• Relative Incidence Estimation from Case Series for Vaccine Safety Evaluation
• A penalized likelihood approach for an illness-death model with interval-censored data: application to age-specific incidence of dementia

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