An Investigation of the Independence Assumption in Capture-Recapture Methods in Epidemiology

Patricia B. Humphrey

An Investigation of the Independence Assumption in Capture-Recapture Methods in Epidemiology

Emeriti, Retired & In Memoriam (COSM)

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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
State	Published - Aug 5 2014
Event	Joint Statistical Meetings - Duration: Aug 11 2015 → …

Conference

Conference	Joint Statistical Meetings
Period	08/11/15 → …

Disciplines

Mathematics

Keywords

Capture-recaptrue
Chapman estimator
Independence

Cite this

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title = "An Investigation of the Independence Assumption in Capture-Recapture Methods in Epidemiology",

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.",

keywords = "Capture-recaptrue, Chapman estimator, Independence",

author = "Humphrey, {Patricia B.}",

note = "Patricia B. Humphrey. {"}An Investigation of the Independence Assumption in Capture-Recapture Methods in Epidemiology{"} Joint Statistical Meetings. Boston, MA. Aug. 2014. source:http://www.amstat.org/meetings/jsm/2014/onlineprogram/AbstractDetails.cfm?abstractid=312720; Joint Statistical Meetings ; Conference date: 11-08-2015",

year = "2014",

month = aug,

day = "5",

language = "American English",

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TY - CONF

T1 - An Investigation of the Independence Assumption in Capture-Recapture Methods in Epidemiology

AU - Humphrey, Patricia B.

N1 - Patricia B. Humphrey. "An Investigation of the Independence Assumption in Capture-Recapture Methods in Epidemiology" Joint Statistical Meetings. Boston, MA. Aug. 2014. source:http://www.amstat.org/meetings/jsm/2014/onlineprogram/AbstractDetails.cfm?abstractid=312720

PY - 2014/8/5

Y1 - 2014/8/5

N2 - 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.

AB - 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.

KW - Capture-recaptrue

KW - Chapman estimator

KW - Independence

M3 - Presentation

T2 - Joint Statistical Meetings

Y2 - 11 August 2015

ER -

An Investigation of the Independence Assumption in Capture-Recapture Methods in Epidemiology

Abstract

Conference

Disciplines

Keywords

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