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Statistical methods for the beta-binomial model in teratology.
The beta-binomial model is widely used for analyzing teratological data involving littermates. Recent developments in statistical analyses of teratological data are briefly reviewed with emphasis on the model. For statistical inference of the parameters in the beta-binomial distribution, separation...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
1994
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1566881/ https://www.ncbi.nlm.nih.gov/pubmed/8187716 |
_version_ | 1782129711960293376 |
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author | Yamamoto, E Yanagimoto, T |
author_facet | Yamamoto, E Yanagimoto, T |
author_sort | Yamamoto, E |
collection | PubMed |
description | The beta-binomial model is widely used for analyzing teratological data involving littermates. Recent developments in statistical analyses of teratological data are briefly reviewed with emphasis on the model. For statistical inference of the parameters in the beta-binomial distribution, separation of the likelihood introduces an likelihood inference. This leads to reducing biases of estimators and also to improving accuracy of empirical significance levels of tests. Separate inference of the parameters can be conducted in a unified way. |
format | Text |
id | pubmed-1566881 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 1994 |
record_format | MEDLINE/PubMed |
spelling | pubmed-15668812006-09-19 Statistical methods for the beta-binomial model in teratology. Yamamoto, E Yanagimoto, T Environ Health Perspect Research Article The beta-binomial model is widely used for analyzing teratological data involving littermates. Recent developments in statistical analyses of teratological data are briefly reviewed with emphasis on the model. For statistical inference of the parameters in the beta-binomial distribution, separation of the likelihood introduces an likelihood inference. This leads to reducing biases of estimators and also to improving accuracy of empirical significance levels of tests. Separate inference of the parameters can be conducted in a unified way. 1994-01 /pmc/articles/PMC1566881/ /pubmed/8187716 Text en |
spellingShingle | Research Article Yamamoto, E Yanagimoto, T Statistical methods for the beta-binomial model in teratology. |
title | Statistical methods for the beta-binomial model in teratology. |
title_full | Statistical methods for the beta-binomial model in teratology. |
title_fullStr | Statistical methods for the beta-binomial model in teratology. |
title_full_unstemmed | Statistical methods for the beta-binomial model in teratology. |
title_short | Statistical methods for the beta-binomial model in teratology. |
title_sort | statistical methods for the beta-binomial model in teratology. |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1566881/ https://www.ncbi.nlm.nih.gov/pubmed/8187716 |
work_keys_str_mv | AT yamamotoe statisticalmethodsforthebetabinomialmodelinteratology AT yanagimotot statisticalmethodsforthebetabinomialmodelinteratology |