What's the relative risk? A method to directly estimate risk ratios in cohort studies of common outcomes

Annals of Epidemiology

Volumn 12, Issue 7, 2002, Pages 452-454

  Robbins, Anthony S ^a,b   Chao, Susan Y ^a   Fonseca, Vincent P ^a  

^a Population Health Support Division   (United States)

^b USAF   (United States)

Author keywords

Cohort Studies; Logistic Models; Odds Ratio; Regression and Analysis

Indexed keywords

ARTICLE; COHORT ANALYSIS; CONFIDENCE INTERVAL; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; LOGISTIC REGRESSION ANALYSIS; MALE; MEDICAL LITERATURE; MEDICAL RESEARCH; NORMAL HUMAN; OUTCOMES RESEARCH; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

COHORT STUDIES; DATA INTERPRETATION, STATISTICAL; HUMANS; MALE; ODDS RATIO; OUTCOME ASSESSMENT (HEALTH CARE); RISK; SOFTWARE; UNITED STATES;

EID: 0036789791     PISSN: 10472797     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1047-2797(01)00278-2     Document Type: Article

References (12)

1. Kelsey J.L., Whittemore A.S., Evans A.S., Thompson W.D. Methods in Observational Epidemiology. 2nd ed. New York: Oxford University Press; 1996:36.
2. Zhang J., Yu K.F. What's the relative risk? A method of correcting the odds ratio in cohort studies of common outcomes. JAMA. 280:1998;1690-1691.
3. McNutt L.A., Hafner J.P., Xue X. Correcting the odds ratio in cohort studies of common outcomes. JAMA. 282:1999;529.
4. Schulman K.A., Berlin J.A., Harless W., Kerner J.F., Sistrunk S., Gersh B.J.et al. The effect of race and sex on physicians' recommendations for cardiac catheterization. N Engl J Med. 340:1999;618-626.
5. Schwartz L.M., Woloshin S., Welch H.G. Misunderstandings about the effects of race and sex on physicians' referrals for cardiac catheterization. N Engl J Med. 341:1999;279-283.
6. Wacholder S. Binomial regression in GLIM. Estimating risk ratios and risk differences Am J Epidemiol. 123:1986;174-184.
7. Francis B., Green M., Payne C. The GLIM System. Release Manual 4. 1993;Clarendon Press, Oxford.
8. Suissa S., Adam J. Generalized linear regression for discrete data using SAS. Am Stat. 41:1987;241.
9. The SAS System for Windows Version 8. 1999;SAS Institute, Cary, NC.
10. The GENMOD procedure. In: SAS/STAT Software. Version 8. Cary, NC: SAS Institute; 1999.
11. Zocchetti C., Vonsonni D., Bertazzi P.A. Estimation of prevalence rate ratios from cross-sectional data. Int J Epidemiol. 24:1995;1064-1065.
12. Wacholder S. The case-control study as data missing by design. Estimating risk differences Epidemiology. 7:1996;144-150.