Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

1-2009

Abstract

This paper studies a semi-parametric method for estimating the prevalence of a binary outcome using a two-phase survey. The motivation for a two-phase survey is, due to time, money and ethical considerations, it is impossible to carry out comprehensive evaluation on all subjects in a large random sample of the population. Rather, a relatively inexpensive "screening test" is given to all subjects in the random sample and only individuals more likely to have a positive outcome (cases) will be selected for a further "gold standard" test to verify the outcome. Therefore, individuals with verified outcome form a non-random sample from the population and care must be taken when the data are used for estimating the prevalence of the outcome. This paper proposes a semi-parametric method for estimating the outcome prevalence. It requires only an estimate of the probability of selection into the second phase, given the first phase data. This feature is desirable as in most cases, the probability of selection into the second phase is under the control of the researchers, and even when it is not, can be easily estimated given the data. The proposed method uses the empirical likelihood approach (Owen, 1988), which yields consistent prevalence estimates as long as the probability of selection into the second phase is correctly modeled.

Keywords

Empiricial likelihood; missing data; surrogate; two-phase sampling

Discipline

Econometrics

Research Areas

Econometrics

Publication

Interfacing modelling and simulation with mathematical and computational sciences: 18th IMACS World Congress, MODSIM09, Cairns, Australia 13-17 July 2009: Proceedings

First Page

1328

Last Page

1334

ISBN

9780975840078

Publisher

Christchurch

City or Country

New Zealand

Additional URL

https://worldcat.org/isbn/9780975840078

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Econometrics Commons

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