Parameterization and inference for nonparametric regression problems

Journal of the Royal Statistical Society. Series B: Statistical Methodology

Volumn 63, Issue 3, 2001, Pages 583-591

  Jiang, Wenxin ^a   Kipnis, Victor ^b   Midthune, Douglas ^b   Carroll, Raymond J ^c  

^a NORTHWESTERN UNIVERSITY   (United States)

^b NATIONAL CANCER INSTITUTE   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Asymptotic variance; Attenuation; Bias; Biomarkers; Breast cancer; Correlation; Generalized estimating equations; Goodness of fit test; Local estimating equations; Measurement error; Nonparametric regression; Reparameterization; Validation study; Varying

Indexed keywords

EID: 0035535704     PISSN: 13697412     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-9868.00300     Document Type: Article

References (6)

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3. Carroll, R. J., Ruppert, D. and Welsh, A. H. (1998) Local estimating equations. J. Am. Statist. Ass., 93, 214-227.
4. Hart, J. D. (1997) Nonparametric Smoothing and Lack-of-fit Tests. New York: Springer.
5. Kipnis, V., Carroll, R. J., Freedman, L. S. and Li, L. (1999) A new dietary measurement error model and its implications for the estimation of relative risk: application to four calibration studies. Am. J. Epidem., 150, 642-651.
6. Plummer, M. and Clayton, D. (1993) Measurement error in dietary assessment: an investigation using covariance structure models. Statist. Med., 12, 925-948.