Auxiliary outcome data and the mean score method

DOI10.1016/0378-3758(94)90194-5zbMath0806.62090OpenAlexW2088954430MaRDI QIDQ1338363

Thomas R. Fleming, Margaret Sullivan Pepe, Marie Reilly

Publication date: 12 February 1995

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

Full work available at URL: https://doi.org/10.1016/0378-3758(94)90194-5

zbMATH Keywords

EM-algorithmmissing datasurrogate endpointssemiparametricregression modelpseudolikelihoodauxiliary datadouble samplingtwo-stage designscovariate vectormean-score method

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Linear inference, regression (62J99)

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Cites Work

• Unnamed Item
• Designing a logistic regression study using surrogate measures for exposure and outcome
• Precision of double sampling estimators for comparing two probabilities
• Inference using surrogate outcome data and a validation sample
• On the Unique Consistent Solution to the Likelihood Equations
• On the Use of Double Sampling Schemes in Analyzing Categorical Data with Misclassification Errors

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