Semiparametric Analysis of Case Series Data

DOI10.1111/j.1467-9876.2006.00554.xzbMath1109.62099OpenAlexW2133745868WikidataQ60370152 ScholiaQ60370152MaRDI QIDQ3435363

Heather J. Whitaker, C. Paddy Farrington

Publication date: 26 April 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9876.2006.00554.x

zbMATH Keywords

air pollutionsemiparametric modelPoisson processepidemiologyrecurrent eventsconditional likelihoodmyocardial infarctionasthmaautismtime-dependent covariateexternal variableproduct multinomialbleeding disorderscase series

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items (8)

Case‐base methods for studying vaccination safety ⋮ Assessing transient carryover effects in recurrent event processes, with application to chronic health conditions ⋮ Case series analysis for censored, perturbed, or curtailed post-event exposures ⋮ Semiparametric Analysis for Recurrent Event Data with Time-Dependent Covariates and Informative Censoring ⋮ Multiple Self‐Controlled Case Series for Large‐Scale Longitudinal Observational Databases ⋮ A Positive Event Dependence Model for Self‐Controlled Case Series with Applications in Postmarketing Surveillance ⋮ Flexible modelling of vaccine effect in self-controlled case series models ⋮ Self-controlled case series analyses: small-sample performance

Uses Software

• addreg

Cites Work

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