The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimation of the probability of an event as a function of several independent variables
Abstract
A method for estimating the probability of occurrence of an event from dichotomous or polychotomous data is developed, using a recursive approach. The method in the dichotomous case is applied to the data of a 10-year prospective study of coronary disease. Other areas of application are briefly indicated.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751
Cited by
High density lipoprotein as a protective factor against coronary heart disease
Gordon, T., Castelli, W. P., Hjortland, M. C., Kannel, W. B., & Dawber, T. R. (1977) · The American Journal of Medicine · doi:10.1016/0002-9343(77)90874-9 · Cited by 5,059
Role of diabetes in congestive heart failure: The Framingham study
Kannel, W. B., Hjortland, M., & Castelli, W. P. (1974) · The American Journal of Cardiology · doi:10.1016/0002-9149(74)90089-7 · Cited by 2,090
An updated coronary risk profile. A statement for health professionals.
Anderson, K. M., Wilson, P. W., Odell, P. M., & Kannel, W. B. (1991) · Circulation · doi:10.1161/01.cir.83.1.356 · Cited by 1,834
Diabetes and cardiovascular risk factors: the Framingham study
Kannel, W. B., & McGee, D. L. (1979) · Circulation · doi:10.1161/01.cir.59.1.8 · Cited by 1,317
A general cardiovascular risk profile: The Framingham study
Kannel, W. B., McGee, D., & Gordon, T. (1976) · The American Journal of Cardiology · doi:10.1016/0002-9149(76)90061-8 · Cited by 1,189
Metadata
- Authors
- WALKER, S. H., & DUNCAN, D. B.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1967
- Volume
- 54
- Issue
- 1-2
- Pages
- 167-179
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2060758175
- Cited by
- 1,682
- References
- 1
- FWCI
- 4.45
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estimation of the probability of an event as a function of several independent variables. https://app.cochat.ai/papers/10.1093/biomet/54.1-2.167
- The paper
- WALKER, S. H., & DUNCAN, D. B. (1967). Estimation of the probability of an event as a function of several independent variables. Biometrika. https://doi.org/10.1093/biomet/54.1-2.167
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
