Cited by 798Statistical Methods in EpidemiologyStatistical Methods and InferenceProbability and Statistical Research

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Relation of pooled logistic regression to time dependent cox regression analysis: The framingham heart study

D'Agostino, Ralph B., Lee, Mei‐Ling, Belanger, Albert J., Cupples, L. Adrienne, Anderson, Keaven, Kannel, William B.·1990·Statistics in Medicine

DOI 10.1002/sim.4780091214

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Abstract

A standard analysis of the Framingham Heart Study data is a generalized person‐years approach in which risk factors or covariates are measured every two years with a follow‐up between these measurement times to observe the occurrence of events such as cardiovascular disease. Observations over multiple intervals are pooled into a single sample and a logistic regression is employed to relate the risk factors to the occurrence of the event. We show that this pooled logistic regression is close to the time dependent covariate Cox regression analysis. Numerical examples covering a variety of sample sizes and proportions of events display the closeness of this relationship in situations typical of the Framingham Study. A proof of the relationship and the necessary conditions are given in the Appendix.

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Authors: D'Agostino, R. B., Lee, M., Belanger, A. J., Cupples, L. A., Anderson, K., & Kannel, W. B.
Affiliations: Boston University (US)
National Heart, Lung, and Blood Institute (US)
ORCID: Lee, Mei‐Ling
Cupples, L. Adrienne
Anderson, Keaven
Venue: Statistics in Medicine
Publisher: Wiley
Published: 1990-12
Volume: 9
Issue: 12
Pages: 1501-1515
ISSN: 0277-6715 (ISSN-L)
1097-0258
DOI: 10.1002/sim.4780091214
OpenAlex: W2113375444
Cited by: 798
References: 14
Citations by year: 2026: 20 · 2025: 27 · 2024: 24 · 2023: 17 · 2022: 28 · 2021: 25 · 2020: 26 · 2019: 25 · 2018: 28 · 2017: 19 · 2016: 19 · 2015: 28 · 2014: 32 · 2013: 30 · 2012: 32
FWCI: 4.21
Type: journal article
Language: en
Open access: closed
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor, 5794 d)
Locations: Statistics in Medicine (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health (5r01hl040423-06)
National Heart, Lung, and Blood Institute (1-R01-HL-40423-02)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords: time-dependent Cox regression, Framingham Heart Study, risk factors, cardiovascular disease, event occurrence, interval data, regression model comparison
MeSH terms: Adult, Aged, Coronary Disease, Humans, Male, Massachusetts, Middle Aged, Regression Analysis, Risk Factors, Time Factors, Meta-Analysis as Topic, Likelihood Functions, Logistic Models

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Relation of pooled logistic regression to time dependent cox regression analysis: The framingham heart study

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