Literature DB >> 3381827

The evaluation of the data collection process for a multicenter, population-based, case-control design.

P A Wingo1, H W Ory, P M Layde, N C Lee.   

Abstract

This report details the methods the authors used to conduct the Cancer and Steroid Hormone Study, a multicenter, population-based, case-control study of oral contraceptive use in relation to breast, endometrial, and ovarian cancer diagnosed during 1980-1982. The authors have documented their methods and rationale, and the results of their data collection efforts as a practical guide for the planning and conduct of large case-control studies. They observed the following: 1) the Surveillance, Epidemiology, and End Results program is a useful epidemiologic resource for identifying cases from which to evaluate risk factors for cancer in the United States; 2) random digit dialing is an effective and efficient method for screening for eligible controls for a population-based study; 3) with the cooperation of community pathologists, histologic specimen slides can be retrieved and reviewed for diagnostic confirmation and histologic subclassification of cancer for greater than 95% of the cases interviewed; and 4) data reported during personal interviews of study participants can be validated by reviewing medical records for more than 75% of study participants who reported medical events that occurred during the 10 years before the beginning of the study.

Entities:  

Keywords:  Americas; Breast Cancer; California; Cancer; Connecticut; Contraception; Contraceptive Agents, Female--side effects; Contraceptive Agents--side effects; Contraceptive History; Contraceptive Methods--side effects; Contraceptive Usage; Data Collection; Developed Countries; Developing Countries; Diseases; Endometrial Cancer; Epidemiologic Methods; Family Planning; Georgia; Health; Health Surveys; Information; Information Processing; Interviews; Iowa; Measurement; Michigan; Neoplasms; New Mexico; North America; Northern America; Oral Contraceptives--side effects; Ovarian Cancer; Prospective Studies; Records; Reliability; Research Methodology; Risk Factors; Sampling Studies; Steroid Metabolic Effects; Studies; Survey Methodology; Surveys; United States; Utah; Washington

Mesh:

Substances:

Year:  1988        PMID: 3381827     DOI: 10.1093/oxfordjournals.aje.a114942

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


  16 in total

Review 1.  Case-control studies of sporadic enteric infections: a review and discussion of studies conducted internationally from 1990 to 2009.

Authors:  Kathleen E Fullerton; Elaine Scallan; Martyn D Kirk; Barbara E Mahon; Frederick J Angulo; Henriette de Valk; Wilfrid van Pelt; Charmaine Gauci; Anja M Hauri; Shannon Majowicz; Sarah J O'Brien
Journal:  Foodborne Pathog Dis       Date:  2012-04       Impact factor: 3.171

2.  Oral contraceptive formulation and risk of breast cancer.

Authors:  Polly A Marchbanks; Kathryn M Curtis; Michele G Mandel; Hoyt G Wilson; Gary Jeng; Suzanne G Folger; Jill A McDonald; Janet R Daling; Leslie Bernstein; Kathleen E Malone; Phyllis A Wingo; Michael S Simon; Sandra A Norman; Brian L Strom; Giske Ursin; Linda K Weiss; Ronald T Burkman; Robert Spirtas
Journal:  Contraception       Date:  2011-09-28       Impact factor: 3.375

3.  Hormone therapy and fatal breast cancer.

Authors:  Sandra A Norman; Anita L Weber; A Russell Localio; Polly A Marchbanks; Giske Ursin; Brian L Strom; Linda K Weiss; Ronald T Burkman; Leslie Bernstein; Dennis M Deapen; Suzanne G Folger; Michael S Simon; Marion R Nadel
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-05       Impact factor: 2.890

4.  Estimation and interpretation of models of absolute risk from epidemiologic data, including family-based studies.

Authors:  Mitchell H Gail
Journal:  Lifetime Data Anal       Date:  2007-12-06       Impact factor: 1.588

5.  Risk factors by molecular subtypes of breast cancer across a population-based study of women 56 years or younger.

Authors:  Mia M Gaudet; Michael F Press; Robert W Haile; Charles F Lynch; Sally L Glaser; Joellen Schildkraut; Marilie D Gammon; W Douglas Thompson; Jonine L Bernstein
Journal:  Breast Cancer Res Treat       Date:  2011-06-11       Impact factor: 4.872

6.  Risk of breast cancer in relation to the interval since last full term pregnancy.

Authors:  P Cummings; J L Stanford; J R Daling; N S Weiss; B McKnight
Journal:  BMJ       Date:  1994-06-25

7.  A conceptual and methodological framework for investigating etiologic heterogeneity.

Authors:  Colin B Begg; Emily C Zabor; Jonine L Bernstein; Leslie Bernstein; Michael F Press; Venkatraman E Seshan
Journal:  Stat Med       Date:  2013-07-16       Impact factor: 2.373

8.  The calculation of breast cancer risk for women with a first degree family history of ovarian cancer.

Authors:  E B Claus; N Risch; W D Thompson
Journal:  Breast Cancer Res Treat       Date:  1993-11       Impact factor: 4.872

9.  Evaluating genetic association among ovarian, breast, and endometrial cancer: evidence for a breast/ovarian cancer relationship.

Authors:  J M Schildkraut; N Risch; W D Thompson
Journal:  Am J Hum Genet       Date:  1989-10       Impact factor: 11.025

10.  Applications of calendar instruments in social surveys: a review.

Authors:  Tina Glasner; Wander van der Vaart
Journal:  Qual Quant       Date:  2007-10-05
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