The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Statistical Evidence: A Likelihood Paradigm
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Cites
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
Kass, R. E., & Raftery, A. E. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476572 · Cited by 12,558
Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results
Lander, E., & Kruglyak, L. (1995) · Nature Genetics · doi:10.1038/ng1195-241 · Cited by 5,239
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-0919-5_38 · Cited by 3,028
Parametric and nonparametric linkage analysis: a unified multipoint approach.
Kruglyak, L., Daly, M. J., Daly, M. J., & Lander, E. S. (1996) · PubMed · Cited by 2,877
Kendall's Advanced Theory of Statistics.
AA, Stuart, A., & Ord, K. (1995) · Journal of the American Statistical Association · doi:10.2307/2291187 · Cited by 2,619
Sequential tests for the detection of linkage.
Morton, N. E. (1955) · Europe PMC (PubMed Central) · Cited by 1,585
Linkage strategies for genetically complex traits. II. The power of affected relative pairs.
RISCH, N. J. (1990) · PubMed · Cited by 868
An Empirical Bayes Approach to Statistics
Robbins, H. E. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-0919-5_26 · Cited by 838
Statistical Evidence: A Likelihood Paradigm
Reeves, J. H., & Royall, R. M. (1998) · Journal of the American Statistical Association · doi:10.2307/2669869 · Cited by 814
Cited by
Multimodel Inference: Understanding AIC and BIC in Model Selection
Burnham, K. P., & Anderson, D. R. (2004) · Sociological Methods & Research · doi:10.1177/0049124104268644 · Cited by 11,648
Burnham, K. P., Anderson, D. R., & Huyvaert, K. P. (2011) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-010-1029-6 · Cited by 4,104
AIC model selection using Akaike weights
Wagenmakers, E.-J., & Farrell, S. (2004) · Psychonomic Bulletin & Review · doi:10.3758/bf03206482 · Cited by 2,684
A practical solution to the pervasive problems ofp values
Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490
Using Bayes to get the most out of non-significant results
Dienes, Z. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00781 · Cited by 1,998
Metadata
- Authors
- Vieland, V. J., & Hodge, S. E.
- Venue
- The American Journal of Human Genetics
- Publisher
- Elsevier BV
- Published
- 1998-07
- Volume
- 63
- Issue
- 1
- Pages
- 283-289
- ISSN
- 0002-9297 (ISSN-L)
- OpenAlex
- W2002325953
- Cited by
- 606
- References
- 26
- FWCI
- 13.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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- CoChat. (2026). Citation check: Statistical Evidence: A Likelihood Paradigm. https://app.cochat.ai/papers/10.1086/499065
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- Vieland, V. J., & Hodge, S. E. (1998). Statistical Evidence: A Likelihood Paradigm. The American Journal of Human Genetics. https://doi.org/10.1086/499065
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.
