Literature DB >> 19759839

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

Richard F Potthoff1, Susan Halabi, Joellen M Schildkraut, Beth Newman.   

Abstract

We propose two innovations in statistical sampling for controls to enable better design of population-based case-control studies. The main innovation leads to novel solutions, without using weights, of the difficult and long-standing problem of selecting a control from persons in a household. Another advance concerns the drawing (at the outset) of the households themselves and involves random-digit dialing with atypical use of list-assisted sampling. A common element throughout is that one capitalizes on flexibility (not broadly available in usual survey settings) in choosing the frame, which specifies the population of persons from which both cases and controls come.

Entities:  

Year:  2008        PMID: 19759839      PMCID: PMC2744085          DOI: 10.1198/000313008X364525

Source DB:  PubMed          Journal:  Am Stat        ISSN: 0003-1305            Impact factor:   8.710


  8 in total

1.  Comparison of telephone sampling and area sampling: response rates and within-household coverage.

Authors:  D J Brogan; M M Denniston; J M Liff; E W Flagg; R J Coates; L A Brinton
Journal:  Am J Epidemiol       Date:  2001-06-01       Impact factor: 4.897

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

Authors:  Ralph DiGaetano; Joseph Waksberg
Journal:  Am J Epidemiol       Date:  2002-04-15       Impact factor: 4.897

3.  Statistics in epidemiology: the case-control study.

Authors:  N E Breslow
Journal:  J Am Stat Assoc       Date:  1996-03       Impact factor: 5.033

Review 4.  Random digit dialing for control selection. A review and a caution on its use in studies of childhood cancer.

Authors:  E R Greenberg
Journal:  Am J Epidemiol       Date:  1990-01       Impact factor: 4.897

5.  Effects of cluster sampling on epidemiologic analysis in population-based case-control studies.

Authors:  B I Graubard; T R Fears; M H Gail
Journal:  Biometrics       Date:  1989-12       Impact factor: 2.571

Review 6.  Telephone sampling in epidemiologic research: to reap the benefits, avoid the pitfalls.

Authors:  R F Potthoff
Journal:  Am J Epidemiol       Date:  1994-05-15       Impact factor: 4.897

7.  Exact logistic regression: theory and examples.

Authors:  C R Mehta; N R Patel
Journal:  Stat Med       Date:  1995-10-15       Impact factor: 2.373

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

Authors:  P Hartge; L A Brinton; J F Rosenthal; J I Cahill; R N Hoover; J Waksberg
Journal:  Am J Epidemiol       Date:  1984-12       Impact factor: 4.897

  8 in total
  2 in total

1.  Pseudo semiparametric maximum likelihood estimation exploiting gene environment independence for population-based case-control studies with complex samples.

Authors:  Yan Li; Barry I Graubard
Journal:  Biostatistics       Date:  2012-04-20       Impact factor: 5.899

2.  Feasibility of including cellular telephone numbers in random digit dialing for epidemiologic case-control studies.

Authors:  Lynda F Voigt; Stephen M Schwartz; David R Doody; Spencer C Lee; Christopher I Li
Journal:  Am J Epidemiol       Date:  2010-11-11       Impact factor: 4.897

  2 in total

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