Meta-analysis techniques applied in prevalence rate estimation

• Autorzy: João Paulo Martins , Miguel Felgueiras , Rui Santos
• Języki publikacji: EN

Abstrakty

EN

In some cases, the estimators obtained in compound tests have better features than the traditional ones, obtained from individual tests, cf. Sobel and Elashoff (1975), Garner et al. (1989) and Loyer (1983). The bias, the efficiency and the robustness of these estimators are investigated in several papers, e.g. Chen and Swallow (1990), Hung and Swallow (1999) and Lancaster and Keller-McNulty (1998). Thus, the use of estimators based on compound tests not only allows a substantial saving of costs, but they also can (in some situations) be more accurate than the estimators based on the individual tests.
Nevertheless, each laboratory produces estimates for the prevalence rate of a given infection using different methodologies, such as halving nested procedures (Sobel and Elashoff, 1975) and square array testing (Kim et al., 2007). The logistic regression or the weighted least squares regression can be used in order to combine different prevalence rate estimates (Chen and Swallow, 1990). In this work some meta-analytical techniques are proposed as an alternative approach. This methodology has the advantage of being quite simple and flexible to account for the error source.

Słowa kluczowe

EN

compound tests; estimation of prevalence; meta-analysis; sensitivity; specificity

Kategorie tematyczne

• 62P10: Applications to biology and medical sciences
• 62F10: Point estimation

• Wydawca: Faculty of Mathematics, Computer Science and Econometrics, University of Zielona Góra
• Czasopismo: Discussiones Mathematicae Probability and Statistics
• Rocznik: 2013
• Tom: 33
• Numer: 1-2
• Strony: 79-97

Daty

wydano

2013

otrzymano

2013-03-16

poprawiono

2013-10-12

Twórcy

autor

João Paulo Martins

• School of Technology and Management, Polytechnic Institute of Leiria
• CEAUL - Center of Statistics and Applications of University of Lisbon

autor

Miguel Felgueiras

• School of Technology and Management, Polytechnic Institute of Leiria
• CEAUL - Center of Statistics and Applications of University of Lisbon
• CIIC - Computer Science and Communications Research Centre of Polytechnic Institute of Leiria

autor

Rui Santos

• School of Technology and Management, Polytechnic Institute of Leiria
• CEAUL - Center of Statistics and Applications of University of Lisbon

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Identyfikatory

DOI

10.7151/dmps1151