Analysis of ordered probit model with surrogate response data and measurement error in covariates

Surupa Roy

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 9, 2665-2678

Abstract: Often in data arising out of epidemiologic studies, covariates are subject to measurement error. In addition ordinal responses may be misclassified into a category that does not reflect the true state of the respondents. The goal of the present work is to develop an ordered probit model that corrects for the classification errors in ordinal responses and/or measurement error in covariates. Maximum likelihood method of estimation is used. Simulation study reveals the effect of ignoring measurement error and/or classification errors on the estimates of the regression coefficients. The methodology developed is illustrated through a numerical example.

Date: 2016
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DOI: 10.1080/03610926.2014.887115

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