The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Odds ratio estimators when the data are sparse
Abstract
The properties of four commonly used estimators of the odds ratio are studied under a large-sample scheme in which the number of 2 × 2 tables increases but the possible marginal configurations remain fixed. Neither the unconditional maximum likelihood nor the empirical logit estimators converge to the true odds ratio; their asymptotic bias is computed for certain special cases of interest. The conditional maximum likelihood and Mantel-Haenszel estimators, which are consistent, have asymptotic variances whose ratio tends to one under the null hypothesis. Even for moderately large odds ratios the simple Mantel-Haenszel estimator maintains remarkably good efficiency.
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
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Cited by
Bias reduction of maximum likelihood estimates
FIRTH, D. (1993) · Biometrika · doi:10.1093/biomet/80.1.27 · Cited by 5,035
The Handbook of Research Synthesis and Meta-Analysis
(2019) · doi:10.7758/9781610448864 · Cited by 4,553
A meta-analysis of randomized controlled trials: Efficacy of selenium treatment for sepsis
Li, S., Tang, T., Guo, P., Zou, Q., Ao, X., Hu, L., & Tan, L. (2019) · Medicine · doi:10.1097/md.0000000000014733 · Cited by 802
Multiple-bias modelling for analysis of observational data
Greenland, S. (2005) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2004.00349.x · Cited by 497
A re‐evaluation of fixed effect(s) meta‐analysis
Rice, K., Higgins, J. P. T., & Lumley, T. (2018) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/rssa.12275 · Cited by 287
Kuss, O. (2015) · Statistics in Medicine · doi:10.1002/sim.6383 · Cited by 206
Young adult outcomes of the Abecedarian and CARE early childhood educational interventions
Campbell, F. A., Wasik, B. H., Pungello, E., Burchinal, M., Barbarin, O., Kainz, K., Sparling, J. J., & Ramey, C. T. (2008) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2008.03.003 · Cited by 142
Metadata
- Authors
- BRESLOW, N.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1981
- Volume
- 68
- Issue
- 1
- Pages
- 73-84
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2056334002
- Cited by
- 259
- References
- 1
- FWCI
- 10.49
- 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
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.
