Abstract
We quantify the effects of departures from independence between two data sources on the chapman estimator in epidemiological applications of disease prevalence. We provide a classification system in the form of perturbations that represent departures from independence for paids of lists with a suspected positive or negative association.
| Original language | American English |
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| State | Published - Aug 5 2014 |
| Event | Joint Statistical Meetings - Duration: Aug 11 2015 → … |
Conference
| Conference | Joint Statistical Meetings |
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| Period | 08/11/15 → … |
Disciplines
- Mathematics
Keywords
- Capture-recaptrue
- Chapman estimator
- Independence