The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Model Robust Confidence Intervals Using Maximum Likelihood Estimators
Abstract
La «methode delta» fournit un estimateur alternatif simple de la variance qui demeure consistant sous des conditions plus generales et qui donne par consequent des intervalles de confiance robustes
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
(1967) · Project Euclid (Cornell University) · Cited by 4,720
Quasi-likelihood functions, generalized linear models, and the Gauss—Newton method
WEDDERBURN, R. W. M. (1974) · Biometrika · doi:10.1093/biomet/61.3.439 · Cited by 2,122
EFRON, B., & HINKLEY, D. V. (1978) · Biometrika · doi:10.1093/biomet/65.3.457 · Cited by 952
Tests of Separate Families of Hypotheses
Cox, D. (1961) · Project Euclid (Cornell University) · Cited by 885
McCullagh, P. (1983) · The Annals of Statistics · doi:10.1214/aos/1176346056 · Cited by 770
Some Problems Connected with Statistical Inference
Cox, D. R. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706618 · Cited by 536
Some remarks on overdispersion
COX, D. R. (1983) · Biometrika · doi:10.1093/biomet/70.1.269 · Cited by 521
Robust properties of likelihood ratio tests
KENT, J. T. (1982) · Biometrika · doi:10.1093/biomet/69.1.19 · Cited by 252
Jackknifing in Unbalanced Situations
HINKLEY, D. V. (1977) · Technometrics · doi:10.2307/1267698 · Cited by 215
Likelihood Inference for a Simple Growth Model
HINKLEY, D. V. (1979) · Biometrika · doi:10.1093/biomet/66.3.659 · Cited by 3
Cited by
A Modified Poisson Regression Approach to Prospective Studies with Binary Data
Zou, G. (2004) · American Journal of Epidemiology · doi:10.1093/aje/kwh090 · Cited by 9,615
Models for Longitudinal Data: A Generalized Estimating Equation Approach
Zeger, S. L., Liang, K.-Y., & Albert, P. S. (1988) · Biometrics · doi:10.2307/2531734 · Cited by 4,505
The Robust Inference for the Cox Proportional Hazards Model
Lin, D. Y., & Wei, L. J. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478874 · Cited by 2,695
Interleukin-1 polymorphisms associated with increased risk of gastric cancer
El-Omar, E. M., Carrington, M., Chow, W.-H., McColl, K. E. L., Bream, J. H., Young, H. A., Herrera, J., Lissowska, J., Yuan, C.-C., Rothman, N., et al. (2000) · Nature · doi:10.1038/35006081 · Cited by 2,366
Robustness of linear mixed-effects models to violations of distributional assumptions
Schielzeth, H., Dingemanse, N. J., Nakagawa, S., Westneat, D. F., Allegue, H., Teplitsky, C., Réale, D., Dochtermann, N. A., Garamszegi, L. Z., & Araya‐Ajoy, Y. G. (2020) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13434 · Cited by 1,393
“There are approaches for obtaining robust estimators for the fixed effects for cases of small sample size and for models with violated distributional assumptions (e.g. Kenward & Roger, 1997; Kenward & Roger, 2009; Royall, 1986; Royall & Tsou, 2003).”
Background
Metadata
- Authors
- Royall, R. M.
- Venue
- International Statistical Review / Revue Internationale de Statistique
- Publisher
- JSTOR
- Published
- 1986-08
- Volume
- 54
- Issue
- 2
- Pages
- 221
- ISSN
- 0306-7734 (ISSN-L)
- OpenAlex
- W2330302092
- Cited by
- 578
- References
- 10
- FWCI
- 5.15
- Type
- journal article
- Language
- fr
- 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: Model Robust Confidence Intervals Using Maximum Likelihood Estimators. https://app.cochat.ai/papers/10.2307/1403146
- The paper
- Royall, R. M. (1986). Model Robust Confidence Intervals Using Maximum Likelihood Estimators. International Statistical Review / Revue Internationale de Statistique. https://doi.org/10.2307/1403146
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.
