Handbook of Measurement Error Models (Hardcover)

Part 1. Introduction 1. Measurement error models - A brief account of past developments and modern advancements Grace Y. Yi/Jeffrey S Buzas 2. The impact of unacknowledged measurement error Paul Gustafson Part 2. Identifiability and Estimation 3. Identifiability in measurement error Liqun Wang 4. Partial learning of misclassification parameters Paul Gustafson 5. Using instrumental variables to estimate models with mismeasured regressors Arthur Lewbel Part 3. General Methodology 6. Likelihood Methods for Measurement Error and Misclassification Grace Y. Yi 7. Regression calibration for covariate measurement error Pamela A. Shaw 8. Conditional and corrected score methods David M. Zucker 9. Semiparametric methods for measurement error and misclassification Yanyuan Ma Part 4. Nonparametric Inference 10. Deconvolution kernel density estimation Aurore Delaigle 11. Nonparametric deconvolution by Fourier transformation and other related approaches Yicheng Kang/Peihua Qiu 12. Deconvolution with unknown error distribution Aurore Delaigle, Ingrid Van Keilegom 13. Nonparametric inference methods for Berkson errors Weixing Song 14. Nonparametric Measurement Errors Models for Regression Tatiyana Apanasovich/Hua Liang Part 5. Applications 15. Covariate measurement error in survival data Jeffrey S. Buzas 16. Mixed effects models with measurement errors in time-dependent covariates Lang Wu/Wei Liu/Hongbin Zhang 17. Estimation in mixed-effects models with measurement error Liqun Wang 18. Measurement error in dynamic models John P. Buonaccorsi 19. Spatial exposure measurement error in environmental epidemiology Howard H. Chang, Joshua P. Keller Part 6. Other features 20. Measurement error as a missing data problem Ruth H. Keogh, Jonathan W. Bartlett 21. Measurement error in causal inference Linda Valeri 22. Measurement error and misclassification in meta-analysis Annamaria Guolo Part 7. Bayesian Analysis 23. Bayesian adjustment for misclassification James D. Stamey and John W. Seaman Jr. 24. Bayesian approaches for handling covariate measurement error Samiran Sinha