Volume 30, Issue 1
Research Article

Testing Hardy–Weinberg equilibrium: An objective Bayesian analysis

Guido Consonni

Corresponding Author

E-mail address: guido.consonni@unipv.it

Dipartimento di Economia Politica e Metodi Quantitativi, Università di Pavia, Via San Felice 5, 27100 Pavia, Italy

Dipartimento di Economia Politica e Metodi Quantitativi, Università di Pavia, Via San Felice 5, 27100 Pavia, ItalySearch for more papers by this author
El�as Moreno

Departamento de Estadística e Investigación Operativa, Universidad de Granada, Avenida Fuente Nueva S/N, C.P. 18071, Granada, Spain

Search for more papers by this author
Sergio Venturini

Dipartimento di Scienze delle Decisioni, Università Luigi Bocconi, Via Röntgen 1, 20136 Milano, Italy

Search for more papers by this author
First published: 20 October 2010
Citations: 10

Abstract

We analyze the general (multiallelic) Hardy–Weinberg equilibrium problem from an objective Bayesian testing standpoint. We argue that for small or moderate sample sizes the answer is rather sensitive to the prior chosen, and this suggests to carry out a sensitivity analysis with respect to the prior. This goal is achieved through the identification of a class of priors specifically designed for this testing problem. In this paper, we consider the class of intrinsic priors under the full model, indexed by a tuning quantity, the training sample size. These priors are objective, satisfy Savage's continuity condition and have proved to behave extremely well for many statistical testing problems. We compute the posterior probability of the Hardy–Weinberg equilibrium model for the class of intrinsic priors, assess robustness over the range of plausible answers, as well as stability of the decision in favor of either hypothesis. Copyright © 2010 John Wiley & Sons, Ltd.

Number of times cited according to CrossRef: 10

  • Objective Bayesian comparison of order-constrained models in contingency tables, TEST, 10.1007/s11749-019-00650-w, (2019).
  • Correlations of ICAM-1 gene polymorphisms with susceptibility and multidrug resistance in colorectal cancer in a Chinese population, Medicine, 10.1097/MD.0000000000007481, 96, 33, (e7481), (2017).
  • Objective Bayesian Comparison of Constrained Analysis of Variance Models, Psychometrika, 10.1007/s11336-016-9516-y, 82, 3, (589-609), (2016).
  • Impact of CTLA4 genotype and other immune response gene polymorphisms on outcomes after single umbilical cord blood transplantation, Blood, 10.1182/blood-2016-06-722249, 129, 4, (525-532), (2016).
  • Testing for Hardy–Weinberg equilibrium at biallelic genetic markers on the X chromosome, Heredity, 10.1038/hdy.2016.20, 116, 6, (558-568), (2016).
  • Statistical Issues in Bayesian Meta-Analysis, Topics on Methodological and Applied Statistical Inference, 10.1007/978-3-319-44093-4, (155-172), (2016).
  • Intrinsic Priors for Objective Bayesian Model Selection, Bayesian Model Comparison, 10.1108/S0731-905320140000034012, (279-300), (2014).
  • Testing Hardy-Weinberg equilibrium with a simple root-mean-square statistic, Biostatistics, 10.1093/biostatistics/kxt028, 15, 1, (74-86), (2013).
  • Optimal treatments in cost-effectiveness analysis in the presence of covariates: Improving patient subgroup definition, European Journal of Operational Research, 10.1016/j.ejor.2012.11.003, 226, 1, (173-182), (2013).
  • A Note on Exact Conditional and Unconditional Tests for Hardy-Weinberg Equilibrium, Human Heredity, 10.1159/000353205, 76, 1, (10-17), (2013).

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.