An estimated score method for missing and auxiliary covariates in two stage studies.

DOI10.1016/S0378-3758(02)00149-0zbMath1127.62321OpenAlexW2020141742MaRDI QIDQ1395878

Andrzej S. Kosinski, W. Dana Flanders, Huiman X. Barnhart

Publication date: 1 July 2003

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0378-3758(02)00149-0

zbMATH Keywords

SemiparametricDouble samplingRobustness to misspecification

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Cites Work

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• Auxiliary outcome data and the mean score method
• Logistic regression for two-stage case-control data
• On the Unique Consistent Solution to the Likelihood Equations
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
• Case-Control Studies with Errors in Covariates
• A mean score method for missing and auxiliary covariate data in regression models

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