American Journal of Epidemiology Vol. 106, No. 2: 125-129
Copyright © 1977 by The Johns Hopkins University School of Hygiene and Public Health
other |
TESTS FOR HOMOGENEITY OF EFFECT IN AN EPIDEMIOLOGIC INVESTIGATION1
2 Biostatistics Center, George Washington University 7979 Old Georgetown Road, Bethesda, MD 20014
3 Biometry Branch, National Cancer Institute Bethesda, MD 20014
Mantel, N. (Biostatistics Center, George Washington U., Bethesda, MD 20014), C. Brown and D. P. Byar. Tests for homogeneity of effect in an epldemlologic investigation. Am J Epidemiol 106:125129, 1977.
A test for homogeneity of the effect of a factor in inducing disease in the various strata of a population should relate to the scaling in which homogeneity is anticipated. Popularly, it is the multiplicative effect on the odds ratio in which homogeneity is anticipated. An asymptotic test by M. Zelen (Biometrika 58:129137, 1971) for homogeneity in this scaling is indicated to be invalid. Further, a test by J. L. Fleiss (Statistical Methods for Rates and Proportions. NY, Wiley, 1973) for homogeneity of the standardized difference is shown to be the same as the Zelen test, to be invalid in any case, and not to correspond to any scaling. The examples given include one in which results of two studies are apparently inhomogeneous by the test even though they give effectively identical results. It is advised that tests for homogeneity be conducted with care, and that thought be given to how effects might be made homogeneous rather than to trying to demonstrate the existence of heterogeneity.
epidemiologic methods; probability; retrospective studies; risk; statistics
1 Supported by USPHS Research Grant CA-15686 from the National Cancer Institute.
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
T. J. Vanderweele and J. M. Robins Empirical and counterfactual conditions for sufficient cause interactions Biometrika, March 1, 2008; 95(1): 49 - 61. [Abstract] [PDF] |
||||
![]() |
J. A. Paydarfar and N. J. Birkmeyer Complications in Head and Neck Surgery: A Meta-analysis of Postlaryngectomy Pharyngocutaneous Fistula Arch Otolaryngol Head Neck Surg, January 1, 2006; 132(1): 67 - 72. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. K. Gehi, R. H. Stein, L. D. Metz, and J. A. Gomes Microvolt T-Wave Alternans for the Risk Stratification of Ventricular Tachyarrhythmic Events: A Meta-Analysis J. Am. Coll. Cardiol., July 5, 2005; 46(1): 75 - 82. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. A. Call, M. A. Vollenweider, C. A. Hornung, D. L. Simel, and W. P. McKinney Does This Patient Have Influenza? JAMA, February 23, 2005; 293(8): 987 - 997. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. L Braunschweig, P. Levy, P. M Sheean, and X. Wang Enteral compared with parenteral nutrition: a meta-analysis Am. J. Clinical Nutrition, October 1, 2001; 74(4): 534 - 542. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Fleiss Review papers : The statistical basis of meta-analysis Statistical Methods in Medical Research, August 1, 1993; 2(2): 121 - 145. [Abstract] [PDF] |
||||
![]() |
K. A. L'ABBE, A. S. DETSKY, and K. O'ROURKE Meta-Analysis in Clinical Research Ann Intern Med, August 1, 1987; 107(2): 224 - 233. [Abstract] [PDF] |
||||






