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Maximum likelihood methods for complex sample data: logistic regression and discrete proportional hazards models

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Publication:3747476
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DOI10.1080/03610928508828982zbMath0608.62011OpenAlexW2030767901MaRDI QIDQ3747476

Kerrie E. Boyle, Lloyd E. Chambless

Publication date: 1985

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928508828982


zbMATH Keywords

survival analysisfinite populationlogistic regressionasymptotic distribution theorymodel-based inferenceinfinite superpopulationcomplex sample datadesign-based inferencesdiscrete proportional hazards models


Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Sampling theory, sample surveys (62D05)


Related Items (1)

Generalized Linear Mixed Models With Crossed Effects and Unit-specific Survey Weights







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