Literature DB >> 11943696

Commentary: Trade-offs in the development of a sample design for case-control studies.

Ralph DiGaetano1, Joseph Waksberg.   

Abstract

The recent article, "Comparison of Telephone Sampling and Area Sampling: Response Rates and Within-Household Coverage" (Am J Epidemiol 2001;153:1119-27), raised a number of issues related to two sampling methodologies that can be used for selecting population-based controls for case-control studies: random digit dialing (RDD) and area probability sampling. Some of these issues are discussed in this commentary in more detail to help in making sample design decisions, including the need to take the analysis plan into account when developing a sample design. Data from the paper are used to illustrate how the choice of sample design can affect analyses. Relative costs associated with the two methodologies as well as variance and bias concerns are also discussed in detail. Sample coverage issues, including those associated with list-assisted RDD, are considered, as are some advantages of the list-assisted approach. A discussion of the use of concurrent screening and sampling with an RDD approach as an alternative to periodically selecting fixed sample sizes is provided.

Mesh:

Year:  2002        PMID: 11943696     DOI: 10.1093/aje/155.8.771

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


  3 in total

1.  Family history and risk of renal cell carcinoma: results from a case-control study and systematic meta-analysis.

Authors:  Jessica Clague; Jie Lin; Adrian Cassidy; Surena Matin; Nizar M Tannir; Pheroze Tamboli; Christopher G Wood; Xifeng Wu
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-02-24       Impact factor: 4.254

2.  Flexible Frames and Control Sampling in Case-Control Studies: Weighters (Survey Statisticians) Versus Anti-Weighters (Epidemiologists).

Authors:  Richard F Potthoff; Susan Halabi; Joellen M Schildkraut; Beth Newman
Journal:  Am Stat       Date:  2008-11-01       Impact factor: 8.710

3.  Theory, methods, and operational results of the Young Women's Health History Study: a study of young-onset breast cancer incidence in Black and White women.

Authors:  Ellen M Velie; Lydia R Marcus; Dorothy R Pathak; Ann S Hamilton; Ralph DiGaetano; Ron Klinger; Bibi Gollapudi; Richard Houang; Nicole Carnegie; L Karl Olson; Amani Allen; Zhenzhen Zhang; Denise Modjesk; Gwendolyn Norman; Darek R Lucas; Sapna Gupta; Hallgeir Rui; Kendra Schwartz
Journal:  Cancer Causes Control       Date:  2021-07-22       Impact factor: 2.506

  3 in total

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