The DOI matches its Crossref record.
Conditioning Diagnostics: Collinearity and Weak Data in Regression.
Abstract
Conditioning Diagnostics: Collinearity and Weak Data in Regression. By D. A. Belsley. ISBN 0 471 52889 7. Wiley, Chichester, 1991. xx + 396 pp. £47.50.
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
Cited by
Dormann, C. F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré, G., Marquéz, J. R. G., Gruber, B., Lafourcade, B., Leitão, P. J., et al. (2013) · Ecography · doi:10.1111/j.1600-0587.2012.07348.x · Cited by 9,998
Global prevalence of anxiety disorders: a systematic review and meta-regression
Baxter, A. J., Scott, K. M., Vos, T., & Whiteford, H. A. (2013) · Psychological Medicine · doi:10.1017/s003329171200147x · Cited by 1,537
Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies
P. Vatcheva, K., & Lee, M. (2016) · Epidemiology: Open Access · doi:10.4172/2161-1165.1000227 · Cited by 1,291
The presence and severity of chronic kidney disease predicts all-cause mortality in type 1 diabetes
Groop, P.-H., Thomas, M. C., Moran, J. L., Wadèn, J., Thorn, L. M., Mäkinen, V.-P., Rosengård-Bärlund, M., Saraheimo, M., Hietala, K., Heikkilä, O., et al. (2009) · Diabetes · doi:10.2337/db08-1543 · Cited by 638
Mar, R. A., Oatley, K., Hirsh, J., dela Paz, J., & Peterson, J. B. (2006) · Journal of Research in Personality · doi:10.1016/j.jrp.2005.08.002 · Cited by 614
Metadata
- Authors
- Pettit, L., & Belsley, D. A.
- Venue
- Applied Statistics
- Publisher
- JSTOR
- Published
- 1992
- Volume
- 41
- Issue
- 3
- Pages
- 601
- ISSN
- 0035-9254 (ISSN-L)
- OpenAlex
- W2947113885
- Cited by
- 570
- References
- 0
- FWCI
- 5.05
- 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: Conditioning Diagnostics: Collinearity and Weak Data in Regression. https://app.cochat.ai/papers/10.2307/2348093
- The paper
- Pettit, L., & Belsley, D. A. (1992). Conditioning Diagnostics: Collinearity and Weak Data in Regression. Applied Statistics. https://doi.org/10.2307/2348093
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.