A comprehensive comparison of goodness-of-fit tests for logistic regression models
Integrity signals
Registry
Cites
Statistics
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?
Model diagnostics were performed to assess goodness-of-fit and multicollinearity.
“Model diagnostics were performed to assess the goodness-of-fit and the presence of multicollinearity.82”
From TET2-mutant myeloid cells mitigate Alzheimer’s disease progression via CNS infiltration and enhanced phagocytosis in mice (2025) · cites this paper as [82]
The logistic regression model's goodness-of-fit was assessed using the Hosmer-Lemeshow test and Akaike Information Criterion.
“Additionally, the logistic regression model’s goodness-of-fit was assessed using the Hosmer-Lemeshow test and Akaike Information Criterion (AIC).82”
From TET2-mutant myeloid cells mitigate Alzheimer’s disease progression via CNS infiltration and enhanced phagocytosis in mice (2025) · cites this paper as [82]
Cited by
Sorted by citations
Matatall, K. A., Wathan, T. K., Nguyen, M., Chen, H., McDonald, A., Qi, G., Belk, J. A., Florez, M. A., Le, D. T., Olarinde, T., et al. (2025) · Cell Stem Cell · doi:10.1016/j.stem.2025.06.006 · Cited by 23 · see citing works
- Authors
- Liu, H., Li, X., Chen, F., Härdle, W., & Liang, H.
- Affiliations
- South China University of Technology (CN)
- Qingdao University (CN)
- Beijing Normal University (CN)
- National Yang Ming Chiao Tung University (TW)
- George Washington University (US)
- Corresponding author
- Liang, Hua
- Venue
- Statistics and Computing
- Published
- 2024-08-30
- Volume
- 34
- Issue
- 5
- ISSN
- 0960-3174 (ISSN-L)
- 1573-1375
- OpenAlex
- W4402071574
- Cited by
- 11
- References
- 0
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 1
- FWCI
- 3.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Statistics and Computing (publishedVersion)
- Funders
- NNSFC grant (11871294)
- Deutsche Forschungsgemeinschaft's IRTG (1792)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- goodness-of-fit tests, logistic regression, Hosmer-Lemeshow test, nonlinear effects, interaction effects, type I error control, statistical power, cancer data
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 ›
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