A SAS Program for the Stratified Analysis of Follow-Up Data

Yasushi HONDA; Maurizio MACALUSO; Ilene BRILL

doi:10.1539/joh.40.154

Yasushi HONDA, Maurizio MACALUSO, Ilene BRILL

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Keywords: Epidemiologic methods, Follow-up studies, Stratified analysis, Confounding, Interaction

JOURNAL FREE ACCESS

1998 Volume 40 Issue 2 Pages 154-157

DOI https://doi.org/10.1539/joh.40.154

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Published: 1998 Received: July 23, 1997 Available on J-STAGE: April 07, 2006 Accepted: November 17, 1997 Advance online publication: - Revised: -
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Date of correction: April 07, 2006 Reason for correction: - Correction: CITATION Details: Wrong : 1) SAS Institute Inc. SAS/STAT User''s Guide Version 6, Forth Edition, Volume I. Cary NC: SAS Institute Inc., 1990.
2) Rothman KJ, Boice JD. Epidemiologic analysis with a programmable calculator. Brookline, MA: Epidemioly Resources, 1982.
3) Greenland S, Robins JM. Estimation of a common effect parameter from sparse follow-up data. Biometrics 1985; 41: 55-68.
4) Checkoway H, Pearce N, Crowford-Brown, DJ. Research methods in occupational epidemiology. New York: Oxford Univ. Press, 1989.
5) Macaluso M. Larson R, Delzell E, et al. Leukemia and cumulative exposure to butadiene, styrene and benzene among workers in the synthetic rubber industry. Toxicology 1996; 113: 190-202.

Right : 1) SAS Institute Inc. SAS/STAT User's Guide Version 6, Forth Edition, Volume I. Cary NC: SAS Institute Inc., 1990.
2) Rothman KJ, Boice JD. Epidemiologic analysis with a programmable calculator. Brookline, MA: Epidemioly Resources, 1982.
3) Greenland S, Robins JM. Estimation of a common effect parameter from sparse follow-up data. Biometrics 1985; 41: 55-68.
4) Checkoway H, Pearce N, Crowford-Brown, DJ. Research methods in occupational epidemiology. New York: Oxford Univ. Press, 1989.
5) Macaluso M. Larson R, Delzell E, et al. Leukemia and cumulative exposure to butadiene, styrene and benzene among workers in the synthetic rubber industry. Toxicology 1996; 113: 190-202.

Date of correction: April 07, 2006 Reason for correction: - Correction: PDF FILE Details: -

Abstract

A SAS Program for the Stratified Analysis of Follow-Up Data:Yasushi HONDA, et al. Environmental Health Sciences Division, National Institute for Environmental Studies-Mantel-Haenszel (M-H) estimators are robust measures of association for the stratified analysis of epidemiologic studies. This paper describes a SAS macro developed to compute the M-H rate ratio (RR) for a binary exposure and its confidence interval from follow-up data. The program accommodates a virtually unlimited number of stratification factors, allows setting the confidence level, and can easily be applied to the analysis of multi-level categorical exposure variables. Printed output includes stratum-specific rates and RRS and summary M-H RRS and confidence intervals. Summary measures of association are meaningful only if effects are homogeneous across strata. The printed output of the program allows inspection of stratum-specific rate ratios to check this important assumption.

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