ON ERRORS-IN-VARIABLES FOR BINARY REGRESSION-MODELS Academic Article

abstract

• We consider binary regression models when some of the predictors are measured with error. For normal measurement errors, structural maximum likelihood estimates are considered. We show that if the measurement error is large, the usual estimate of the probability of the event in question can be substantially in error, especially for high risk groups. In the situation of large measurement error, we investigate a conditional maximum likelihood estimator and its properties. 1984 Biometrika Trust.

authors

• Carroll, Raymond

published proceedings

• BIOMETRIKA

altmetric score

• 3

author list (cited authors)

• CARROLL, R. J., SPIEGELMAN, C. H., LAN, K., BAILEY, K. T., & ABBOTT, R. D.

citation count

• 162

complete list of authors

• CARROLL, RJ||SPIEGELMAN, CH||LAN, KKG||BAILEY, KT||ABBOTT, RD

publication date

• April 1984

publisher

• Oxford University Press (OUP)  Publisher

published in

• Biometrika  Journal

keywords

• 38 Economics
• 3802 Econometrics
• 49 Mathematical Sciences
• 4905 Statistics

Digital Object Identifier (DOI)

• 10.2307/2336392

start page

• 19

end page

• 25

volume

• 71

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1093%2Fbiomet%2F71.1.19