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Correcting for Bias due to Misclassification when Error-prone Continuous Exposures Are Misclassified
Keogh, Ruth H.; Strawbridge, Alexander D.; White, Ian - In: Epidemiologic Methods 1 (2012) 1, pp. 189-215
regression calibration (RC), multiple imputation (MI), moment reconstruction (MR) and simulation extrapolation (SIMEX). There are … the continuous exposure followed by categorization, and a new SIMEX method. Simulation studies are used to compare the … association between the continuous exposure and the outcome is linear on the appropriate scale. RC and SIMEX methods fail to …
Persistent link: https://www.econbiz.de/10014590583
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New Challenges in HIV Research: Combining Phylogenetic Cluster Size and Epidemiological Data
Parveen, Nabila; Moodie, Erica E. M.; Cox, Joseph; … - In: Epidemiologic Methods 7 (2018) 1
Abstract An exciting new direction in HIV research is centered on using molecular phylogenetics to understand the social and behavioral drivers of HIV transmission. SPOT was an intervention designed to offer HIV point of care testing to men who have sex with men at a community-based site in...
Persistent link: https://www.econbiz.de/10014590638
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Statistical Methods for Nonlinear Dynamic Models with Measurement Error Using the Ricker Model
Resendes, David Joseph - 2011
variances are utilized. To these ends, SIMEX and modified estimating equations (MEE) rather than likelihood methods are … depends on the true value of the parameter. Furthermore, the performances of SIMEX and MEE are associated with the true value … those from SIMEX. It was also found that the MEE estimators contain singularities which attribute to its low precision and …
Persistent link: https://www.econbiz.de/10009468234
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Robustness in Latent Variable Models
Huang, Xianzheng - 2006
under these specific contexts. Then we borrow the idea of simulation-extrapolation (SIMEX), or remeasurement method …
Persistent link: https://www.econbiz.de/10009431306
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Reducing Measurement Error in Student Achievement Estimation
Battauz, Michela; Bellio, Ruggero; Gori, Enrico - In: Psychometrika 73 (2008) 2, pp. 289-302
Persistent link: https://www.econbiz.de/10005603599
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House prices and home ownership : a cohort analysis
Bottazzi, Renata; Crossley, Thomas F.; Wakefield, Matthew - 2012
England has very volatile house prices. Using survey data spanning multiple house-price cycles over nearly forty years, we document the association between house prices and homeownership at age thirty. We then use synthetic cohort methods to assess whether differences in early ownership rates...
Persistent link: https://www.econbiz.de/10009530248
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Tax evasion and measurement error : an econometric analysis of survey data linked with tax records
Paulus, Alari - 2015
We use income survey data linked with tax records at the individual level for Estonia to estimate the determinants and extent of income tax compliance in a novel way. Unlike earlier studies attributing income discrepancies between such data sources either to tax evasion or survey measurement...
Persistent link: https://www.econbiz.de/10010515865
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The information value of central school exams
Schwerdt, Guido; Woessmann, Ludger - 2015
The central vs. local nature of high-school exit exam systems can have important repercussions on the labor market. By increasing the informational content of grades, central exams may improve the sorting of students by productivity. To test this, we exploit the unique German setting where...
Persistent link: https://www.econbiz.de/10011283115
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The information value of central school exams
Schwerdt, Guido; Woessmann, Ludger - 2015
The central vs. local nature of high-school exit exam systems can have important repercussions on the labor market. By increasing the informational content of grades, central exams may improve the sorting of students by productivity. To test this, we exploit the unique German setting where...
Persistent link: https://www.econbiz.de/10011283839
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The bias of the Gini coefficient due to grouping
Van Ourti, Tom; Clarke, Philip M. - 2008
We propose a first order bias correction term for the Gini index to reduce the bias due to grouping. The first order correction term is obtained from studying the estimator of the Gini index within a measurement error framework. In addition, it reveals an intuitive formula for the remaining...
Persistent link: https://www.econbiz.de/10011377108