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  • Search: subject:"Regression calibration"
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Year of publication
Subject
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Regression calibration 7 regression calibration 6 Measurement error 4 SIMEX 3 Simultaneous inference 3 Errors-in-Variables 2 Mathematics 2 Non-linearity 2 Non-parametric function 2 Nonlinear Models 2 Partially linear model 2 Power Transformations 2 Regression Calibration 2 Semi-parametric regression 2 Spline Transformations 2 Transform-Both-Sides 2 U.S. Gasoline demand 2 Uniform con dence surface 2 covariate measurement error 2 generalized linear model 2 measurement error 2 measurement model 2 pseudo maximum likelihood estimation 2 Accelerated failure time model 1 Benzin 1 Berkson error 1 Conditional estimation 1 Confidence interval 1 Corrected score functions 1 Cox model 1 Error-in-variables 1 Estimation theory 1 Gasoline 1 Generalized linear model 1 Induktive Statistik 1 Logistic regression 1 Longitudinal data 1 MONICA/KORA study 1 Misclassification 1 Mixed effects model 1
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Online availability
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Free 11 Undetermined 4
Type of publication
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Book / Working Paper 7 Article 5 Other 3
Type of publication (narrower categories)
All
Working Paper 5 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 research-article 1
Language
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Undetermined 8 English 7
Author
All
Carroll, Raymond J. 3 Chao, Shih-Kang 3 Kim, Kun Ho 3 Eckert, R. Stephen 2 Härdle, Wolfgang Karl 2 Kuha, Jouni 2 Skrondal, Anders 2 Wang, Naisyin 2 Augustin, Thomas 1 Daowen Zhang 1 Davidian, Marie 1 Döring, A. 1 Hardin, James W. 1 Härdle, Wolfgang 1 Keogh, Ruth H. 1 Li, Erning 1 Marie Davidian 1 Nan, Bin 1 Natarajan, Loki 1 Rummel, D. 1 Schmeidiche, Henrik 1 Shieh, Meng-Shiou 1 Stefanski, Leonard A. 1 Strawbridge, Alexander D. 1 Thomas, Laine 1 White, Ian 1 Yu, Menggang 1
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Institution
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London School of Economics (LSE) 1 Sonderforschungsbereich 373, Quantifikation und Simulation ökonomischer Prozesse, Wirtschaftswissenschaftliche Fakultät 1
Published in...
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Computational Statistics & Data Analysis 1 Discussion Paper 1 Epidemiologic Methods 1 IRTG 1792 Discussion Paper 1 International Journal of Biostatistics 1 LSE Research Online Documents on Economics 1 Psychometrika 1 SFB 373 Discussion Paper 1 SFB 373 Discussion Papers 1 SFB 649 Discussion Paper 1 SFB 649 discussion paper 1 Stata Journal 1
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Source
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RePEc 6 EconStor 4 BASE 3 ECONIS (ZBW) 1 Other ZBW resources 1
Showing 11 - 15 of 15
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Regression calibration for Cox regression under heteroscedastic measurement error: determining risk factors of cardiovascular diseases from error-prone nutritional replication dat...
Augustin, Thomas; Döring, A.; Rummel, D. - 2003
estimators is indispensable to avoid deceptive conclusions. This paper discusses and extends the method of regression calibration …
Persistent link: https://www.econbiz.de/10010266223
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The regression-calibration method for fitting generalized linear models with additive measurement error
Hardin, James W.; Schmeidiche, Henrik; Carroll, Raymond J. - In: Stata Journal 3 (2003) 4, pp. 361-372
This paper discusses and illustrates the method of regression calibration. This is a straightforward technique for …
Persistent link: https://www.econbiz.de/10005583286
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Regression Calibration for Dichotomized Mismeasured Predictors
Natarajan, Loki - In: International Journal of Biostatistics 5 (2009) 1, pp. 1143-1143
discussed. Measurement error correction via regression calibration is developed for this scenario, and compared to naïvely using …
Persistent link: https://www.econbiz.de/10005046661
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Transformations of additivity in measurement error models
Eckert, R. Stephen; Carroll, Raymond J.; Wang, Naisyin - 1996
In many problems one wants to model the relationship between a response Y and a covariate X. Sometimes it is difficult, expensive, or even impossible to observe X directly, but one can instead observe a substitute variable W which is easier to obtain. By far the most common model for the...
Persistent link: https://www.econbiz.de/10010310765
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Cover Image
Transformations of additivity in measurement error models
Eckert, R. Stephen; Carroll, Raymond J.; Wang, Naisyin - Sonderforschungsbereich 373, Quantifikation und … - 1996
In many problems one wants to model the relationship between a response Y and a covariate X. Sometimes it is difficult, expensive, or even impossible to observe X directly, but one can instead observe a substitute variable W which is easier to obtain. By far the most common model for the...
Persistent link: https://www.econbiz.de/10010956544
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