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Analysis of cohort studies with multivariate and partially observed disease classification data

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Publication:2786378
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DOI10.1093/BIOMET/ASQ036zbMath1195.62159OpenAlexW2050856993WikidataQ34347752 ScholiaQ34347752MaRDI QIDQ2786378

Heather Spencer Feigelson, Samiran Sinha, Nilanjan Chatterjee, W. Ryan Diver

Publication date: 22 September 2010

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/asq036


zbMATH Keywords

partial likelihoodinfluence functiontwo-stage modelcompeting risksproportional hazard regressionetiologic heterogeneitymissing cause of failure


Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)


Related Items (2)

Regression analysis of competing risks data with general missing pattern in failure types ⋮ The competing risks Cox model with auxiliary case covariates under weaker missing-at-random cause of failure







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