The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
394: The Analysis of Binary Responses from Toxicological Experiments Involving Reproduction and Teratogenicity
Abstract
This paper describes a parametric method for analyzing binary response data from completely randomized experiments in which the experimental units are animal litters. Responses within a litter are assumed to form a set of Bernoulli trials whose success probability varies between litters in the same treatment group according to a two parameter beta distribution. The parameters of the beta distribution for each treatment are estimated by maximum likelihood and treatment differences are tested by asymptotic likelihood ratio tests.
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 Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Cited by
Setting the agenda: responsible party government in the U.S. House of Representatives
(2006) · Choice Reviews Online · doi:10.5860/choice.43-4315 · Cited by 910
Fifty Years of Classification and Regression Trees
Loh, W. (2014) · International Statistical Review · doi:10.1111/insr.12016 · Cited by 649
Neuhaus, J. M., Kalbfleisch, J. D., & Hauck, W. W. (1991) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1403572 · Cited by 543
Interpreting Parameters in the Logistic Regression Model with Random Effects
Larsen, K., Petersen, J. H., Budtz‐Jørgensen, E., & Endahl, L. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00909.x · Cited by 473
Testing for Overdispersion in Poisson and Binomial Regression Models
Dean, C. B. (1992) · Journal of the American Statistical Association · doi:10.1080/01621459.1992.10475225 · Cited by 386
Metadata
- Authors
- Williams, D. A.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1975-12
- Volume
- 31
- Issue
- 4
- Pages
- 949
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2322775683
- Cited by
- 510
- References
- 1
- FWCI
- 2.95
- 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: 394: The Analysis of Binary Responses from Toxicological Experiments Involving Reproduction and Teratogenicity. https://app.cochat.ai/papers/10.2307/2529820
- The paper
- Williams, D. A. (1975). 394: The Analysis of Binary Responses from Toxicological Experiments Involving Reproduction and Teratogenicity. Biometrics. https://doi.org/10.2307/2529820
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.
