Repeated Probit Regression When Covariates Are Measured With Error

DOI10.1111/j.0006-341X.1999.00403.xzbMath1059.62565OpenAlexW2038063059WikidataQ52065005 ScholiaQ52065005MaRDI QIDQ4666577

Paul S. Albert, Dean A. Follmann, Sally A. Hunsberger

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.00403.x

zbMATH Keywords

random effects modelsmeasurement errorerrors-in-variablesprobit regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (3)

Binary Regression Analysis with Pooled Exposure Measurements: A Regression Calibration Approach ⋮ A Mover–Stayer Model for Longitudinal Marker Data ⋮ An Augmented Probit Model for Missing Predictable Covariates in Quantal Bioassay with Small Sample Size

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• Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS

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