Measuring screening intensity in case-control studies of the efficacy of mammography

American Journal of Epidemiology

Volumn 164, Issue 3, 2006, Pages 272-281

  Localio, A Russell ^a,c   Zhou, Lan ^a,b   Norman, Sandra A ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Bias (epidemiology); Case control studies; Computer simulation; Mammography

Indexed keywords

CANCER; DETECTION METHOD; REGRESSION ANALYSIS; SIMULATION; WOMENS HEALTH; X-RAY SPECTROSCOPY;

ARTICLE; BREAST CANCER; CANCER SCREENING; CASE CONTROL STUDY; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MAMMOGRAPHY;

BREAST NEOPLASMS; CASE-CONTROL STUDIES; COMPUTER SIMULATION; FEMALE; HUMANS; MAMMOGRAPHY; MASS SCREENING; MODELS, THEORETICAL; NEOPLASM STAGING;

EID: 33747873047     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwj180     Document Type: Article

References (21)

1. Figure IV-4. In: Ries LAG, Eisner MP, Kosary CL, et al, eds. SEER cancer statistics review, 1975-2001. Bethesda, MD: National Cancer Institute, 2004. (http://seer.cancer.gov/csr/1975_2001/results_merged/sect_04_breast.pdf, page 21).
2. Weiss NS. Application of the case-control method in the evaluation of screening. Epidemiol Rev 1994;16:102-8.
3. Weiss NS, McKnight B, Stevens NG. Approaches to the analysis of case-control studies of the efficacy of screening for cancer. Am J Epidemiol 1992;135:817-23.
4. Weiss NS. Case-control studies of the efficacy of screening tests designed to prevent the incidence of cancer. Am J Epidemiol 1999;149:1-4.
5. Weiss NS. Adjusting for screening history in epidemiologic studies of cancer: why, when, and how to do it. Am J Epidemiol 2003;157:957-61.
6. Weiss NS, Dhillon PK, Etzioni R. Case-control studies of the efficacy of cancer screening. Overcoming bias from nonrandom patterns of screening. Epidemiology 2004;15:409-10.
7. Etzioni RD, Weiss NS. Analysis of case-control studies of screening: impact of misspecifying the duration of detectable preclinical pathologic changes. Am J Epidemiol 1998;148:292-7.
8. Weiss NS, Etzioni R. Estimating the influence of rescreening interval on the benefits associated with cancer screening: approaches and limitations. Epidemiology 2002;13:713-17.
9. Norman SA, Localio AR, Zhou L, et al. Validation of self-reported screening mammography histories among women with and without breast cancer. Am J Epidemiol 2003;158:264-71.
10. Morrison A. Screening in chronic disease. New York, NY: Oxford University Press, 1985.
11. Hosek RS, Flanders WD, Sasco AJ. Bias in case-control studies of screening effectiveness. Am J Epidemiol 1996;143:193-201.
12. Boer R, Plevritis S, Clarke L. Diversity of model approaches for breast cancer screening: a review of model assumptions by The Cancer Intervention and Surveillance Network (CISNET) Breast Cancer Groups. Stat Methods Med Res 2004;13:525-38.
13. Connor RJ, Boer R, Prorok PC, et al. Investigation of design and bias issues in case-control studies of cancer screening using microsimulation. Am J Epidemiol 2000;151:991-8.
14. Evans M, Hastings N, Peacock B. Statistical distributions. 2nd ed. New York, NY: John Wiley & Sons, 1993:29-37.
15. Elmore JG, Armstrong K, Lehman CD, et al. Screening for breast cancer. JAMA 2005;293:1245-56.
16. Clayton DG, Hills M. Statistical models in epidemiology. Oxford, United Kindgom: Oxford University Press, 1993.
17. Beaumont JJ, Steenland K, Minton A, et al. A computer program for incidence density sampling of controls in casecontrol studies nested within occupational cohort studies. Am J Epidemiol 1989;129:212-19.
18. Rothman KJ, Greenland S, eds. Modern epidemiology. 2nd ed. Philadelphia, PA: Lippincott-Raven, 1998:95-6.
19. Sasco AJ, Day NE, Walter SD. Case-control studies for the evaluation of screening. J Chronic Dis 1986;39:399-405.
20. Moss SM. Case-control studies of screening. Int J Epidemiol 1991;20:1-6.
21. Feuer EJ, Etzioni R, Cronin KA, et al. The use of modeling to understand the impact of screening on US mortality: examples from mammography and PSA testing. Stat Methods Med Res 2004;13:421-42.