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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.5
- 수록면
- 709 - 720 (12page)
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In healthcare and medical research, many important variables have a measurement error such as body mass index and laboratory data. It is also not easy to collect samples of large size because of high cost and long time required to collect the target patient satisfied with inclusion and exclusion criteria. Beside, the demand for solving a complex scientific problem has highly increased so that a semiparametric regression approach could be of substantial value solving this problem. To address the issues of measurement error, small domain and a scientific complexity, we conduct a multivariable Bayesian smoothing under structural measurement error covariate in this article. Specifically we enhance our previous model by incorporating other useful auxiliary covariates free of measurement error. For the regression spline, we use a radial basis functions with fixed knots for the measurement error covariate. We organize a fully Bayesian approach to fit the model and estimate parameters using Markov chain Monte Carlo. Simulation results represent that the method performs well. We illustrate the results using a national survey data for application.
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참고문헌 (14)
참고문헌 신청
[단행본] - Carlin, B. O. / 2009 / Bayesian methods for data analysis / Chapman & Hall
[단행본] - Fuller, W. A. / 1987 / Measurement error models / Dekker
[학술지(정기간행물)] - Gelman, A. E. / 1992 / Inference from iterative simulation(with discussion) / Statistical Science 7 : 457 ~ 511
[학술지(정기간행물)] - Ghosh, M. / 2006 / Empirical and hierachical Bayesian estimation in finite population sampling under structural measurement error models / Scandinavian Journal of Statistics 33 : 591 ~ 608
[학술지(정기간행물)] - Green, P. J. / 1995 / Reversible jump Markov chain Monte Carlo computation and Bayesian model deter-mination / Biometrika 57 : 87 ~ 109
[단행본] - Fuller, W. A. / 1987 / Measurement error models / Dekker
[학술지(정기간행물)] - Gelman, A. E. / 1992 / Inference from iterative simulation(with discussion) / Statistical Science 7 : 457 ~ 511
[학술지(정기간행물)] - Ghosh, M. / 2006 / Empirical and hierachical Bayesian estimation in finite population sampling under structural measurement error models / Scandinavian Journal of Statistics 33 : 591 ~ 608
[학술지(정기간행물)] - Green, P. J. / 1995 / Reversible jump Markov chain Monte Carlo computation and Bayesian model deter-mination / Biometrika 57 : 87 ~ 109
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UCI(KEPA) : I410-ECN-0101-2018-041-001369540