The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Relation of pooled logistic regression to time dependent cox regression analysis: The framingham heart study
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Odds ratios from case–control studies and hazard ratios from cohort studies were combined because they closely approximate each other, with sensitivity analyses performed by study design to assess for heterogeneity [23, 24].”
Citations
Cites
The Statistical Analysis of Failure Time Data.
Aitkin, M. A., Kalbfleisch, J. D., & Prentice, R. L. (1981) · Biometrics · doi:10.2307/2530581 · Cited by 9,875
Cox, D. R., & Oakes, D. (2018) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315137438 · Cited by 6,269
Breslow, N. E., Cox, D. R., & Oakes, D. (1985) · Biometrics · doi:10.2307/2530888 · Cited by 4,381
Dawber, T. R. (1980) · Harvard University Press eBooks · doi:10.4159/harvard.9780674492097 · Cited by 1,965
Regression analysis of grouped survival data with application to breast cancer data.
Prentice, R., & Gloeckler, L. (1978) · Biometrics · doi:10.2307/2529588 · Cited by 1,399
The Framingham Study. The Epidemiology of Atherosclerotic Disease.
(1981) · Annals of Internal Medicine · doi:10.7326/0003-4819-94-2-286_1 · Cited by 628
Comparison of baseline and repeated measure covariate techniques in the Framingham heart study
Cupples, L. A., D’Agostino, R. B., Anderson, K. M., & Kannel, W. B. (1988) · Statistics in Medicine · doi:10.1002/sim.4780070122 · Cited by 254
Self-citationOn the Treatment of Grouped Observations in Life Studies
Thompson, W. A. (1977) · Biometrics · doi:10.2307/2529360 · Cited by 226
Methods for Analyzing Panel Studies of Acute Health Effects of Air Pollution
Korn, E. L., & Whittemore, A. S. (1979) · Biometrics · doi:10.2307/2530111 · Cited by 206
Schatzkin, A. G., Cupples, L. A., Heeren, T., Morelock, S., & Kannel, W. B. (1984) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113960 · Cited by 178
Self-citationLOGISTIC REGRESSION IN SURVIVAL ANALYSIS
ABBOTT, R. D. (1985) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a114019 · Cited by 135
Empirical comparisons of proportional hazards and logistic regression models
Ingram, D. D., & Kleinman, J. C. (1989) · Statistics in Medicine · doi:10.1002/sim.4780080502 · Cited by 90
On the Use of Repeated Measurements in Regression Analysis with Dichotomous Responses
Wu, M. C., & Ware, J. H. (1979) · Biometrics · doi:10.2307/2530355 · Cited by 70
Kahn, H. A., & Dawber, T. R. (1966) · Journal of Chronic Diseases · doi:10.1016/0021-9681(66)90098-1 · Cited by 26
Research works printed but not linked: 2
- D'Agostino R. B.andKannel W. B.‘Epidemiological background and design: the Framingham Study’ inProceedings of the American Statistical Association Sesquicentennial Invited Paper Sessions American Statistical Association Alexandria Virginia 1989 pp.707–718.
- Shurtleff D., 1974, The Framingham Study: an Epidemiological Investigation of Cardiovascular Disease, 74
Cited by
Sorted by citations
Atrial fibrillation as an independent risk factor for stroke: the Framingham study
Wolf, P. A., Abbott, R. D., & Kannel, W. B. (1991) · Stroke · doi:10.1161/01.str.22.8.983 · Cited by 7,388
Self-citationImpact of Atrial Fibrillation on the Risk of Death: The Framingham Heart Study
Benjamin, E. J., Wolf, P. A., D’Agostino, R. B., Silbershatz, H., Kannel, W. B., & Levy, D. (1998) · Circulation · doi:10.1161/01.cir.98.10.946 · Cited by 4,575
Self-citationDiet, lifestyle, and the risk of type 2 diabetes mellitus in women.
Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G., Liu, S., Solomon, C. G., & Willett, W. C. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010492 · Cited by 2,901
Constructing Inverse Probability Weights for Marginal Structural Models
Cole, S. R., & Hernan, M. A. (2008) · American Journal of Epidemiology · doi:10.1093/aje/kwn164 · Cited by 2,796
Dietary Fat Intake and the Risk of Coronary Heart Disease in Women
Hu, F. B., Stampfer, M. J., Manson, J. E., Rimm, E. B., Colditz, G. A., ROSNER, B. A., Hennekens, C. H., & Willett, W. C. (1997) · New England Journal of Medicine · doi:10.1056/nejm199711203372102 · Cited by 1,774
Metadata
- 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)
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1990-12
- Volume
- 9
- Issue
- 12
- Pages
- 1501-1515
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- 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
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
