Literature DB >> 1536136

Evaluation of random digit dialing as a method of control selection in case-control studies.

S H Olson1, J L Kelsey, T A Pearson, B Levin.   

Abstract

Control groups selected by random digit dialing are frequently used in case-control studies. Concern about the potential for bias in these control groups has been expressed, primarily because of low response rates. This study compares the characteristics of a hypothetical control group consisting of 341 men and women aged 40-74 years, selected by random digit dialing and participating in an interview in 1990, with the characteristics of 15,563 men and women aged 40-74 years who participated in a privately conducted census in the same upstate New York county in 1989. For most measures, no differences were seen between the random digit dialing sample and the census population. However, the hypothetical control group was more likely to have had their cholesterol checked in the past 2 years and was somewhat more likely to have had other screening tests as well. In addition, the hypothetical control group was somewhat better educated. The results suggest that, at least in this setting, control groups selected by random digit dialing are representative of the general population in most respects; however, caution should be used when studying the relation between screening tests and disease occurrence by means of case-control studies using controls selected by random digit dialing.

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Year:  1992        PMID: 1536136     DOI: 10.1093/oxfordjournals.aje.a116273

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  22 in total

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4.  Comparison of address-based sampling and random-digit dialing methods for recruiting young men as controls in a case-control study of testicular cancer susceptibility.

Authors:  Bartholt Clagett; Katherine L Nathanson; Stephanie L Ciosek; Monique McDermoth; David J Vaughn; Nandita Mitra; Andrew Weiss; Rachel Martonik; Peter A Kanetsky
Journal:  Am J Epidemiol       Date:  2013-09-05       Impact factor: 4.897

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8.  Atherosclerotic disease of the proximal aorta and the risk of vascular events in a population-based cohort: the Aortic Plaques and Risk of Ischemic Stroke (APRIS) study.

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9.  Hair-color products and risk for non-Hodgkin's lymphoma: a population-based study in the San Francisco bay area.

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Journal:  Am J Public Health       Date:  1998-12       Impact factor: 9.308

10.  Conducting Molecular Epidemiological Research in the Age of HIPAA: A Multi-Institutional Case-Control Study of Breast Cancer in African-American and European-American Women.

Authors:  Christine B Ambrosone; Gregory L Ciupak; Elisa V Bandera; Lina Jandorf; Dana H Bovbjerg; Gary Zirpoli; Karen Pawlish; James Godbold; Helena Furberg; Anne Fatone; Heiddis Valdimarsdottir; Song Yao; Yulin Li; Helena Hwang; Warren Davis; Michelle Roberts; Lara Sucheston; Kitaw Demissie; Kandace L Amend; Paul Tartter; James Reilly; Benjamin W Pace; Thomas Rohan; Joseph Sparano; George Raptis; Maria Castaldi; Alison Estabrook; Sheldon Feldman; Christina Weltz; Margaret Kemeny
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