Literature DB >> 7942764

Comparison of control subjects recruited by random digit dialing and area survey.

C Lele1, E A Holly, D S Roseman, D B Thomas.   

Abstract

Although random digit dialing (RDD) is an accepted and commonly used method of sampling populations for controls in case-control studies, there have been surprisingly few attempts to compare the accuracy of RDD with that of the best traditional alternative, i.e., household area surveys. The aim of the present study was to compare a variety of characteristics of control subjects selected by RDD and area survey methods. All data were gathered through in-person interviews of both types of control subjects. The area survey identified a population-based sample of 20- to 79-year-old residents of two Washington State counties in 1978 and 1979. Control groups for three case-control studies of bladder cancer, gynecologic cancers, and multiple myeloma were drawn from this area sample, for a total of 240 control subjects. Controls aged 21-64 years from the same counties were identified for the National Bladder Cancer Study using RDD telephone sampling during the same time period. There were 134 respondents in the RDD control group. Overall, the two control groups selected by these two different methods yielded similar estimated frequencies of various population characteristics. The small differences observed in some age/sex subgroups and the statistical significance of the overall measure of association for occupational exposure to organic substances may be attributed to multiple comparisons.

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Year:  1994        PMID: 7942764     DOI: 10.1093/oxfordjournals.aje.a117303

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


  6 in total

1.  Solvent exposure and non-Hodgkin lymphoma: no risk in a population-based study in the San Francisco Bay Area.

Authors:  Gregory J Tranah; Elizabeth A Holly; Paige M Bracci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-11       Impact factor: 4.254

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

Authors:  E A Holly; C Lele; P M Bracci
Journal:  Am J Public Health       Date:  1998-12       Impact factor: 9.308

3.  Response rates to random digit dialing for recruiting participants to an onsite health study.

Authors:  V N Pavlik; D J Hyman; C Vallbona; J K Dunn; K Louis; C M Dewey; L Wieck; C Toronjo
Journal:  Public Health Rep       Date:  1996 Sep-Oct       Impact factor: 2.792

4.  Residential water source and the risk of childhood brain tumors.

Authors:  B A Mueller; K Newton; E A Holly; S Preston-Martin
Journal:  Environ Health Perspect       Date:  2001-06       Impact factor: 9.031

5.  Area based stratified random sampling using geospatial technology in a community-based survey.

Authors:  Carrie R Howell; Wei Su; Ariann F Nassel; April A Agne; Andrea L Cherrington
Journal:  BMC Public Health       Date:  2020-11-10       Impact factor: 3.295

6.  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
Journal:  J Oncol       Date:  2009-10-25       Impact factor: 4.375

  6 in total

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