Power and sample size for testing homogeneity of relative risks in prospective studies

Biometrics

Volumn 55, Issue 1, 1999, Pages 289-293

  Nam, Jun Mo ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Power; Prospective studies; Sample size; Score test; Testing homogeneity of relative risks

Indexed keywords

RISK ASSESSMENT;

CHI-SQUARE TESTS; POWER; POWER AND SAMPLE SIZE; PROSPECTIVE STUDY; RELATIVE RISKS; SAMPLE SIZES; SCORE TEST; TESTING HOMOGENEITY OF RELATIVE RISK;

STATISTICAL TESTS;

ARTICLE; DATA ANALYSIS; MATHEMATICAL ANALYSIS; SAMPLE; STATISTICAL ANALYSIS; STATISTICS;

EID: 0032937003     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.00289.x     Document Type: Article

References (19)

1. Breslow, N. E. and Day, N. E. (1980). Statistical Methods in Cancer Research, Volume 1, The Analysis of Case-Control Studies. Lyon: International Agency for Research on Cancer.
2. 2 tests. Biometrics 10, 417-451.
3. Evans, D. A., Hennekens, C. H., Miao, L., Laughlin, L. W., Chapman, W. G., Rosner, B., Taylor, J. O., and Kass, E. H. (1978). Oral-contraceptive use and bacteriuria in a community-based study. New England Journal of Medicine 299, 536-537.
4. Gart, J. J. (1985). Approximate tests and interval estimation of the common relative risk in the combination of 2 × 2 tables. Biometrika 72, 673-677.
5. Gart, J. J. and Nam, J.-M. (1988). Approximate interval estimation of the ratio of binomial parameters: A review and corrections for skewness. Biometrics 44, 323-338.
6. Gastwirth, J. L. (1985). The use of maximin efficiency robust tests in combining contingency tables and survival analysis. Journal of the American Statistical Association 80, 380-384.
7. Haynam, G. E., Govindarajulu, J., and Leone, F. C. (1970). Tables of the cumulative non-central chisquare distribution. In Selected Tables in Mathematical Statistics, Volume I, H. L. Harter and D. B. Owen (eds), 1-78. Chicago: Markham.
8. IMSL. (1987). IMSL User's Manual: Stat/Library (Fortran Subroutines for Statistical Analysis), Version 1.0. Houston: IMSL.
9. Innes, J. R. M., Ulland, B. M., Valerio, M. G., Petrucelli, L., Fishbein, L., Hart, E. R., and Pallotta, A. J. (1969). Bioassay of pesticides and industrial chemicals for tumorigenicity in mice: A preliminary note. Journal of the National Cancer Institute 42, 1101-1114.
10. Jones, M. P., O'Gorman, T. W., Lemke, J. H., and Woolson, R. F. (1989). A Monte Carlo investigation of homogeneity tests of the odds ratio under various sample size configurations. Biometrics 45, 171-181.
11. Kunin, C. M. and McCormack, R. C. (1968). An epidemiologic study of bacteriuria and blood pressure among nuns and working women. New England Journal of Medicine 278, 635-642.
12. Mantel, N. and Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute 22, 719-748.
13. Miettinen, O. S. (1985). Theoretical Epidemiology. New York: Wiley.
14. Radhakrishna, S. (1965). Combination of results from several 2 × 2 contingency tables. Biometrics 21, 86-98.
15. Rao, C. R. (1965). Linear Statistical Inference and Its Application. New York: John Wiley.
16. Sontag, J. A., Page, N. P., and Saffiotti, U. (1976). Guidelines for Carcinogen Bioassay in Small Rodents. NIH Publication 76-801. Bethesda, Maryland: National Institutes of Health.
17. Sussman, M., Asscher, A. W., Waters, W. E., Evans, J. A., Campbell, H., Evans, K. T., and Williams, J. E. (1969). Asymptotic significant bacteriuria in the non-pregnant women. I: Description of a population. British Medical Journal 1, 799-803.
18. Takahashi, M. and Loveland, D. B. (1974). Bacteriuria and oral contraceptives: Routine health examinations of 12,076 middle-class women. Journal of the American Medical Association 227, 762-765.
19. Tarone, R. E. (1981). On summary estimators of relative risk, Journal of Chronic Disease 34, 463-468.