Testing and estimating the non-disjunction fraction in Meiosis I using reference priors.
In this paper we analyze the fraction of non-disjunction in Meiosis I assuming reference (non-informative) priors. We consider Jeffreys's approach to built a non-informative prior (Jeffreys's prior) for the fraction of non-disjunction in Meiosis I. We prove that Jeffreys's prior is a proper distribution. We perform Monte Carlo studies in order to compare Bayes estimates obtained assuming Jeffreys's and uniform priors. We consider full Bayesian significance test (FBST) and Bayes factor (BF) for testing precise hypothesis on the fraction of non-disjunction in Meiosis I. The ultimate goal of this paper is to compare these two test procedures through simulation studies using both prior specifications. An application to Down Syndrome data is also presented.
Loschi
Rosangela H
RH
Departamento de Estatística - ICEx, Universidade Federal de Minas Gerais, Av. Antonio Carlos 6627, Pampulha, 31270-901 Belo Horizonte, MG, Brazil. loschi@est.ufmg.br
Monteiro
João V D
JV
Rocha
Gustavo H M A
GH
Mayrink
Vinicius D
VD
D001499:Bayes Theorem; D004314:Down Syndrome / Q000235:genetics*; D006801:Humans; D008540:Meiosis / Q000235:genetics*; D008957:Models, Genetic; D009010:Monte Carlo Method; D009630:Nondisjunction, Genetic