Design aspects of calibration studies in nutrition, with analysis of missing data in linear measurement error models
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- Sarah M. Nusser & Alicia L. Carriquiry & Kevin W. Dodd, 1995. "Semiparametric Transformation Approach to Estimating Usual Daily Intake Distributions, A," Center for Agricultural and Rural Development (CARD) Publications 95-sr74, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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Cited by:
- Malka Gorfine & Nurit Lipshtat & Laurence S. Freedman & Ross L. Prentice, 2007. "Linear Measurement Error Models with Restricted Sampling," Biometrics, The International Biometric Society, vol. 63(1), pages 137-142, March.
- Huixia Judy Wang & Leonard A. Stefanski & Zhongyi Zhu, 2012. "Corrected-loss estimation for quantile regression with covariate measurement errors," Biometrika, Biometrika Trust, vol. 99(2), pages 405-421.
- C. Y. Wang, 2000. "Weighted Normality-Based Estimator in Correcting Correlation Coefficient Estimation Between Incomplete Nutrient Measurements," Biometrics, The International Biometric Society, vol. 56(1), pages 106-112, March.
- C. Y. Wang & Garnet L. Anderson & Ross L. Prentice, 1999. "Estimation of the Correlation Between Nutrient Intake Measures Under Restricted Sampling," Biometrics, The International Biometric Society, vol. 55(3), pages 711-717, September.
- Daniel W. Schafer, 2001. "Semiparametric Maximum Likelihood for Measurement Error Model Regression," Biometrics, The International Biometric Society, vol. 57(1), pages 53-61, March.
- Firouzeh Noghrehchi & Jakub Stoklosa & Spiridon Penev, 2020. "Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables," Computational Statistics, Springer, vol. 35(3), pages 1291-1317, September.
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Keywords
Measurement Error; Errors-in-Variables; Estimating Equations; Nutrition; Sampling Designs; Linear regression; Maximum Likelihood; Method of Moments; Missing Data; Model Robustness; Semiparametrics; Stratified Sampling; Weighting;All these keywords.
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