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Cohort Study Analysis with a FORTRAN Computer Program

COLEMAN, M., DOUGLAS, A., HERMON, C., PETO, J.·1986·International Journal of Epidemiology

Abstract

We describe the analysis of cohort study data with a standard FORTRAN program which should run on most computers. It provides a summary measure of the mortality (or incidence) rate ratio between the study cohort and some standard population, based either on person-years at risk or on proportional mortality, and adjusted for age, sex and calendar period; a test of the statistical significance of the ratio; and a set of observed death rates in the study cohort. Results may also be produced in a form suitable for use with GLIM. The analysis may be subdivided into a range of time intervals since each subject was first exposed to risk. The program provides for movement of subjects between different 'level-of-exposure' subgroups within the cohort, and for various methods of censoring. It allows considerable flexibility in data management, and is available with complete documentation and a worked example. The program should enable epidemiologists with little computing experience to carry out formal analysis of cohort studies.

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Metadata

Authors
COLEMAN, M., DOUGLAS, A., HERMON, C., & PETO, J.
Venue
International Journal of Epidemiology
Published
1986-03-01
Volume
15
Issue
1
Pages
134-137
ISSN
  • 0300-5771 (ISSN-L)
  • 1464-3685
OpenAlex
W2160479411
Cited by
249
References
0
FWCI
12.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cohort Study Analysis with a FORTRAN Computer Program. https://app.cochat.ai/papers/10.1093/ije/15.1.134
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COLEMAN, M., DOUGLAS, A., HERMON, C., & PETO, J. (1986). Cohort Study Analysis with a FORTRAN Computer Program. International Journal of Epidemiology. https://doi.org/10.1093/ije/15.1.134

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.