Literature DB >> 6334439

Random digit dialing in selecting a population-based control group.

P Hartge, L A Brinton, J F Rosenthal, J I Cahill, R N Hoover, J Waksberg.   

Abstract

Results are described from four epidemiologic studies in the United States which used random digit dialing in over 30,000 households to identify controls from the general population for use in case-control studies. Methods and problems in telephone sampling are discussed. It is concluded that if complete population rosters are unavailable and if the population to be sampled has the high rates of telephone ownership typical of much of the United States, telephone-based sampling can yield a nearly random sample of the individuals in a population, often at much less expense than can dwelling-based sampling.

Mesh:

Year:  1984        PMID: 6334439     DOI: 10.1093/oxfordjournals.aje.a113955

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


  55 in total

1.  Antihistamine use and immunoglobulin E levels in glioma risk and prognosis.

Authors:  E Susan Amirian; Deborah Marquez-Do; Melissa L Bondy; Michael E Scheurer
Journal:  Cancer Epidemiol       Date:  2013-08-30       Impact factor: 2.984

2.  Serum organochlorine pesticide residues and risk of testicular germ cell carcinoma: a population-based case-control study.

Authors:  Mary L Biggs; Mark D Davis; David L Eaton; Noel S Weiss; Dana B Barr; David R Doody; Sherianne Fish; Larry L Needham; Chu Chen; Stephen M Schwartz
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-08       Impact factor: 4.254

3.  Association and interactions between DNA repair gene polymorphisms and adult glioma.

Authors:  Yanhong Liu; Michael E Scheurer; Randa El-Zein; Yumei Cao; Kim-Anh Do; Mark Gilbert; Kenneth D Aldape; Qingyi Wei; Carol Etzel; Melissa L Bondy
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-01       Impact factor: 4.254

4.  On combining triads and unrelated subjects data in candidate gene studies: an application to data on testicular cancer.

Authors:  Li Hsu; Jacqueline R Starr; Yingye Zheng; Stephen M Schwartz
Journal:  Hum Hered       Date:  2008-12-12       Impact factor: 0.444

5.  Treatment-related risk factors for arm lymphedema among long-term breast cancer survivors.

Authors:  Nandita Das; Richard N Baumgartner; Elizabeth C Riley; Christina M Pinkston; Dongyan Yang; Kathy B Baumgartner
Journal:  J Cancer Surviv       Date:  2015-04-26       Impact factor: 4.442

6.  Effects of enhanced calling efforts on response rates, estimates of health behavior, and costs in a telephone health survey using random-digit dialing.

Authors:  A R Kristal; E White; J R Davis; G Corycell; T Raghunathan; S Kinne; T K Lin
Journal:  Public Health Rep       Date:  1993 May-Jun       Impact factor: 2.792

7.  Body size and risk of luminal, HER2-overexpressing, and triple-negative breast cancer in postmenopausal women.

Authors:  Amanda I Phipps; Kathleen E Malone; Peggy L Porter; Janet R Daling; Christopher I Li
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-07-29       Impact factor: 4.254

8.  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

9.  Solar radiation, lip protection, and lip cancer risk in Los Angeles County women (California, United States).

Authors:  J M Pogoda; S Preston-Martin
Journal:  Cancer Causes Control       Date:  1996-07       Impact factor: 2.506

10.  The association between birth order, sibship size and glioma development in adulthood.

Authors:  E Amirian; Michael E Scheurer; Melissa L Bondy
Journal:  Int J Cancer       Date:  2010-06-01       Impact factor: 7.396

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