In this paper we obtain a consistent estimator when there exist some measurement errors and multicollinearity in the instrumental variables in a two stage least square estimation of parameters. We investigate the asymptotic distribution of the proposed estimator and discuss its properties using some theoretical proofs and a simulation study. A real numerical application is also provided for mor...

BACKGROUND AND AIM: Various measurement devices are available for detection of halitosis. For epidemiologic studies, it is necessary to use a portable and small device. This study aimed to investigation of correlation between measuring the device (Etiquette checker) with Halimeter. METHODS: One hundred volunteers (students and patients) participated in this study. The amount of volatile sulfur ...

As is well understood among clinical researchers, medical diagnoses often suffer from substantial measurement error. This is particularly true for mental health diagnoses.1 Reliance on inaccurate diagnosis indicators can substantially compromise researchers’ and clinicians’ ability to reliably evaluate treatment approaches, measure clinical progress, or estimate relationships between patient at...

J. S. Buzas Department of Statistics North Carolina State University Raleigh, NC 27695 We describe an approach to instrumental variable estimation in binary regression measurement error models. The method entails constructing an approximate mean model for the binary response as a function of the measured predictor, the instrument and any covariates in the model. Estimates are obtained by exploi...