The proportional hazards model for survey data from independent and clustered super-popu\-lations

DOI10.1016/j.jmva.2011.01.005zbMath1210.62006OpenAlexW2089647864MaRDI QIDQ716167

Susana Rubin-Bleuer

Publication date: 19 April 2011

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2011.01.005

Mathematics Subject Classification ID

Central limit and other weak theorems (60F05) Point estimation (62F10) Sampling theory, sample surveys (62D05) Estimation in survival analysis and censored data (62N02)

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The proportional hazards model for survey data from independent and clustered super-popu\-lations

Cites Work

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• The proportional hazards model for survey data from independent and clustered super-popu\-lations
• On the two-phase framework for joint model and design-based inference
• Inference from stratified samples: Properties of the linearization, jackknife and balanced repeated replication methods
• Model assisted survey sampling
• Asymptotics of estimating equations under natural conditions.
• Parameters of Superpopulation and Survey Population: Their Relationships and Estimation
• A "Super-Population Viewpoint" for Finite Population Sampling
• On fitting Cox's proportional hazards models to survey data
• Survival analysis based on the proportional hazards model and survey data

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