ReviewThe correction of risk estimates for measurement error
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Breast cancer incidence using administrative data: correction with sensitivity and specificity
2009, Journal of Clinical EpidemiologyCitation Excerpt :However, the main challenge has been to differentiate incident from prevalent cases [8–12,15–17,25,26,33]. Because of all the known imperfections of claims data to identify incident cancer cases, a true or exact measurement of the number of incident cancer cases cannot be made [34,35]. To correct this measurement, we used a statistical method based on a two-phase study design that we had previously developed [36,37].
Simulations showed that validation of database-derived diagnostic criteria based on a small subsample reduced bias
2007, Journal of Clinical EpidemiologyCitation Excerpt :Some limitations of our simulations have to be recognized. First, we considered only those methods that can be easily implemented by a relatively unsophisticated user of standard commercial statistical software, and we did not investigate some more refined approaches [31]. Furthermore, as in any simulation study, the underlying assumptions were somewhat arbitrary [19,23,28,32], even if such crucial parameters as the PPV were clinically plausible [5].
Method of correction to assess the number of hospitalized incident breast cancer cases based on claims databases
2002, Journal of Clinical EpidemiologyUsing R-programming in the study of correlation coefficients in epidemiology
2023, AIP Conference Proceedings
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For the duration of this work, S. A. Bashir was supported by a studentship from the Medical Research Council.