Reducing sensitivity to nuisance parameters in semiparametric models: a quasi-score method

DOI10.1093/biomet/86.4.857zbMath1074.62508OpenAlexW2014188617MaRDI QIDQ4937275

Paul J. Rathouz, Kung-Yee Liang

Publication date: 1999

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biomet/86.4.857

zbMATH Keywords

measurement errorbias correctionestimating functionNeyman-Scott problemquasilikelihoodBhattacharyya basis

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Nonparametric estimation (62G05) Point estimation (62F10) Generalized linear models (logistic models) (62J12)

Related Items (4)

Robust modified profile estimating function with application to the generalized estimating equation ⋮ Reducing the sensitivity to nuisance parameters in pseudo‐likelihood functions ⋮ SUPPLEMENTARY SCORE TEST IN MIXTURE MODEL ⋮ Orthogonal Locally Ancillary Estimating Functions with Application to Stratified Clustered Data

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