Differential Measurement Errors in Zero-Truncated Regression Models for Count Data

DOI10.1111/J.1541-0420.2011.01594.XzbMath1274.62792OpenAlexW1997465220WikidataQ33863166 ScholiaQ33863166MaRDI QIDQ2893409

Wen-Han Hwang, Fei-Yin Chen, Yih-Huei Huang

Publication date: 20 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2011.01594.x

zbMATH Keywords

conditional scoredifferential measurement errorssurrogate conditionzero-truncated regression model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Population size estimation using zero-truncated Poisson regression with measurement error ⋮ Zero-Inflated Poisson Models with Measurement Error in the Response

Cites Work

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• A Tobit-type estimator for the censored Poisson regression model
• A measurement error model for heterogeneous capture probabilities in mark-recapture experiments: an estimating equation approach
• A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
• Estimation of Rate and Mean Functions from Truncated Recurrent Event Data
• Conditional Estimation for Generalized Linear Models When Covariates Are Subject‐Specific Parameters in a Mixed Model for Longitudinal Measurements
• Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• The use of auxiliary variables in capture-recapture modelling: An overview
• Measurement Error in Nonlinear Models
• Robust Estimation of a Location Parameter

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