The design effect and cluster samples: optimising tuberculosis prevalence surveys

Williams, B and Gopi, P G and Borgdorff, M W and Yamada, N and Dye, C (2008) The design effect and cluster samples: optimising tuberculosis prevalence surveys. International Journal of Tuberculosis and Lung Disease, 12 (10). pp. 1110-1115. ISSN Print: 1027-3719; Online: 1815-7920

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Cross-sectional surveys of disease prevalence, including for tuberculosis (TB), often use a two (or more) stage sampling procedure. By choosing clusters of people randomly from all possible clusters, the logistic costs of doing the survey can be reduced. However, this increases the statistical uncertainty in the estimate of prevalence, and we need to balance the reduction in cost against the increase in uncertainty. Here we describe cluster sampling and consider ways to determine the optimal survey design as well as the extent to which deviations from the optimal design matter. We illustrate the results using data from a recent survey in Cambodia in which TB was diagnosed using sputum smears, cultures and X-rays.

Item Type: Article
Uncontrolled Keywords: tuberculosis; prevalence; design effect; cluster sample; survey
Subjects: Tuberculosis > Epidemiological Research
Divisions: Epidemiology
Depositing User: Dr. Rathinasabapati R
Date Deposited: 27 Jul 2017 11:23
Last Modified: 27 Jul 2017 11:23

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