Approximate Quasi-likelihood Estimation in Models with Surrogate Predictors Academic Article

abstract

• We consider quasi-likelihood estimation with estimated parameters in the variance function when some of the predictors are measured with error. We review and extend four approaches to estimation in this problem, all of them based on small measurement error approximations. A taxonomy of the data sets likely to be available in measurement error studies is developed. An asymptotic theory based on this taxonomy is obtained and includes measurement error and Berkson error models as special cases. 1990 Taylor & Francis Group, LLC.

authors

• Carroll, Raymond

published proceedings

• Journal of the American Statistical Association

altmetric score

• 0.25

author list (cited authors)

• Carroll, R. J., & Stefanski, L. A.

citation count

• 209

complete list of authors

• Carroll, Raymond J||Stefanski, Leonard A

publication date

• September 1990

publisher

• Taylor & Francis  Publisher

published in

• JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION  Journal

keywords

• Emerging Infectious Diseases

Digital Object Identifier (DOI)

• 10.1080/01621459.1990.10474925

start page

• 652

end page

• 663

volume

• 85

issue

• 411

URL

• http%3A%2F%2Fdx.doi.org%2F10.1080%2F01621459.1990.10474925