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Statistical Analysis of 2 × 2 Tables

Published online by Cambridge University Press:  21 June 2016

Louise-Anne McNutt
Affiliation:
Division of Biostatistics, College of Medicine, The University of Iowa, Iowa City, Iowa
Robert F. Woolson*
Affiliation:
Division of Biostatistics, College of Medicine, The University of Iowa, Iowa City, Iowa
*
Division of Biostatistics, 2811 A Steindler Bldg, University of Iowa Hospitals and Clinics, Iowa City, IA 52242

Extract

Clinical epidemiologic studies often focus on the identification of risk factors associated with hospital-acquired infections and the subsequent effects of preventive measures. Two study designs commonly used are the prospective design and the retrospective design. Both of these designs and the associated data collection issues were defined and discussed in the first article of this series. This article reviews the statistical analysis for a dichotomous risk factor and the presence or absence of a given disease for unmatched data. We focus our attention primarily on the unmatched prospective study, although we present formulae for the retrospective study as well.

Type
Special Sections
Copyright
Copyright © The Society for Healthcare Epidemiology of America 1988

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References

1. Woolson, R, McNutt, L: Statistics for clinical epidemiology, general design and analytic questions. Infect Control Hosp Epidemiol 1988; 9:271274.CrossRefGoogle Scholar
2. Kleinbaum, D, Kupper, L, Morgenstern, H: Epidemiologic Research: Principles and Quantitative Methods. Belmont. California, Wadsworth Inc, 1982.Google Scholar
3. Fleiss, JL: Statistical Methods for Rates and Proportions, ed 2. New York, Wiley. 1981.Google Scholar
4. Armitage, P, Berry, G: Statistical Methods in Medical Records, ed 2. Oxford, Blackwell Publications, 1987.Google Scholar
5. Garibaldi, RA, Britt, MR, Coleman, ML, et al: Risk factors for postoperative pneumonia. Am J Med 1981; 70:677.CrossRefGoogle ScholarPubMed
6. Martin, TR: The relationship between malnutrition and lung infections. Clin Chest Med 1987; 3:359.CrossRefGoogle Scholar
7. SAS® User's Guide; Basics, Version 5 Edition. Cary, North Carolina, SAS Institute Inc. 1985.Google Scholar
8. SAS® User's Guide; Statistics, Version 5 Edition. Cary, North Carolina, SAS Institute Inc, 1985.Google Scholar
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Statistical Analysis of 2 × 2 Tables
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