Literature DB >> 8187716

Statistical methods for the beta-binomial model in teratology.

E Yamamoto1, T Yanagimoto.   

Abstract

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.

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Year:  1994        PMID: 8187716      PMCID: PMC1566881          DOI: 10.1289/ehp.94102s125

Source DB:  PubMed          Journal:  Environ Health Perspect        ISSN: 0091-6765            Impact factor:   9.031


  10 in total

1.  The analysis of binary responses from toxicological experiments involving reproduction and teratogenicity.

Authors:  D A Williams
Journal:  Biometrics       Date:  1975-12       Impact factor: 2.571

2.  On the use of historical control data to estimate dose response trends in quantal bioassay.

Authors:  R L Prentice; R T Smythe; D Krewski; M Mason
Journal:  Biometrics       Date:  1992-06       Impact factor: 2.571

3.  Estimation bias using the beta-binomial distribution in teratology.

Authors:  D A Williams
Journal:  Biometrics       Date:  1988-03       Impact factor: 2.571

4.  On testing departure from the binomial and multinomial assumptions.

Authors:  S R Paul; K Y Liang; S G Self
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

5.  A stabilized moment estimator for the beta-binomial distribution.

Authors:  R N Tamura; S S Young
Journal:  Biometrics       Date:  1987-12       Impact factor: 2.571

6.  The impact of litter effects on dose-response modeling in teratology.

Authors:  L L Kupper; C Portier; M D Hogan; E Yamamoto
Journal:  Biometrics       Date:  1986-03       Impact factor: 2.571

7.  Analysis of dichotomous response data from certain toxicological experiments.

Authors:  J K Haseman; L L Kupper
Journal:  Biometrics       Date:  1979-03       Impact factor: 2.571

8.  The use of a correlated binomial model for the analysis of certain toxicological experiments.

Authors:  L L Kupper; J K Haseman
Journal:  Biometrics       Date:  1978-03       Impact factor: 2.571

9.  Estimation of the median lethal dose when responses within a little are correlated.

Authors:  A C Segreti; A E Munson
Journal:  Biometrics       Date:  1981-03       Impact factor: 2.571

10.  Analysis of proportions of affected foetuses in teratological experiments.

Authors:  S R Paul
Journal:  Biometrics       Date:  1982-06       Impact factor: 2.571

  10 in total
  1 in total

1.  Measuring total health inequality: adding individual variation to group-level differences.

Authors:  Emmanuela Gakidou; Gary King
Journal:  Int J Equity Health       Date:  2002-08-12
  1 in total

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