The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Statistical Models: Theory and Practice
Abstract
1. Observational studies and experiments 2. The regression line 3. Matrix algebra 4. Multiple regression 5. Multiple regression: special topics 6. Path models 7. Maximum likelihood 8. The bootstrap 9. Simultaneous equations 10. Issues in statistical modeling.
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 Beginner's Guide to Structural Equation Modeling
Finkelstein, D. M. (2005) · Technometrics · doi:10.1198/tech.2005.s328 · Cited by 769
Cited by
Signatures of T cell dysfunction and exclusion predict cancer immunotherapy response
Jiang, P., Gu, S., Pan, D., Fu, J., Sahu, A., Hu, X., Li, Z., Traugh, N., Bu, X., Li, B., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0136-1 · Cited by 5,179
A survey on deep learning and its applications
Dong, S., Wang, P., & Abbas, K. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100379 · Cited by 1,544
On The So-Called “Huber Sandwich Estimator” and “Robust Standard Errors”
Freedman, D. A. (2006) · The American Statistician · doi:10.1198/000313006x152207 · Cited by 498
Self-citationOn regression adjustments to experimental data
Freedman, D. A. (2008) · Advances in Applied Mathematics · doi:10.1016/j.aam.2006.12.003 · Cited by 417
Self-citationBig Data: Deep Learning for financial sentiment analysis
Sohangir, S., Wang, D., Pomeranets, A., & Khoshgoftaar, T. M. (2018) · Journal of Big Data · doi:10.1186/s40537-017-0111-6 · Cited by 390
Metadata
- Venue
- Technometrics
- Publisher
- Informa UK Limited
- Published
- 2006-05
- Volume
- 48
- Issue
- 2
- Pages
- 315-315
- ISSN
- 0040-1706 (ISSN-L)
- 1537-2723
- OpenAlex
- W1489537150
- Cited by
- 991
- References
- 1
- Type
- book review
- 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: Statistical Models: Theory and Practice. https://app.cochat.ai/papers/10.1198/tech.2006.s403
- The paper
- Statistical Models: Theory and Practice. (2006). Technometrics. https://doi.org/10.1198/tech.2006.s403
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.
