Locally efficient semiparametric estimators for functional measurement error models

Biometrika

Volumn 91, Issue 4, 2004, Pages 835-848

  Tsiatis, Anastasios A ^a   Ma, Yanyuan ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Efficient score; Functional measurement error; Semiparametric estimator

Indexed keywords

EID: 24144453468     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/91.4.835     Document Type: Article

References (10)

1. BICKEL, P. J., KLAASSEN, C. A. J., Rrrov, Y. & WELLNER, J. A. (1993). Efficient and Adaptive Estimation for Semiparametric Models. Baltimore, MD: Johns Hopkins University Press.
2. CARROLL, R. J., RUPPERT, D. & STEFANSKI, L. A. (1995). Measurement Error in Nonlinear Models. New York: Chapman and Hall.
3. FOUTZ, R. V. (1977). On the unique consistent solution to the likelihood equations. J. Am. Statist. Assoc. 72, 147-8.
4. LINDSAY, B. G. & LESPERANCE, M. L. (1995). A review of semiparametric mixture models. J. Statist. Plan. Infer. 47, 29-39.
5. LUENBERGER, D. G. (1969). Optimization by Vector Space Methods. New York: Wiley.
6. NEWEY, W. K. (1990). Semiparametric efficiency bounds. J. Appl. Economet. 5, 99-135.
7. RAO, C. R. (1973). Linear Statistical Inference and its Applications. New York: Wiley.
8. STEFANSKI, L. A. & CARROLL, R. J. (1985). Covariate measurement error in logistic regression. Ann. Statist. 13, 1335-51.
9. STEFANSKI, L. A. & CARROLL, R. J. (1987). Conditional scores and optimal scores for generalized linear measurement-error models. Biometrika 74, 703-16.
10. VAN DER VAART, A. W. (1996). Efficient maximum likelihood estimation in semiparametric mixture models. Ann. Statist. 24, 862-78.