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Field-based random sampling without a sampling frame: control selection for a case-control study in rural Africa

โœ Scribed by A.C. Crampin; V. Mwinuka; S.S. Malema; J.R. Glynn; P.E.M. Fine

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
440 KB
Volume
95
Category
Article
ISSN
0035-9203

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โœฆ Synopsis

Selection bias, particularly of controls, is common in case-control studies and may materially affect the results. Methods of control selection should be tailored both for the risk factors and disease under investigation and for the population being studied. We present here a control selection method devised for a case-control study of tuberculosis in rural Africa (Karonga, northern Malawi) that selects an age/ sex frequency-matched random sample of the population, with a geographical distribution in proportion to the population density. We also present an audit of the selection process, and discuss the potential of this method in other settings.

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โœ Peihua Qiu; Melvin L. Moeschberger; Glen E. Cooke; Pascal J. Goldschmidt-Clermon ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 128 KB ๐Ÿ‘ 3 views

We discuss a sample size calculation for a pair-matched case-control study to test for interaction between a speci"c exposure and a second risk factor. The second risk factor could be either binary or continuous. An algorithm for the calculation of sample size is suggested which is based on a logist