Hypothesis testing under mixture models: application to genetic linkage analysis.

Abstract:

:In this paper we propose a new class of statistics to test a simple hypothesis against a family of alternatives characterized by a mixture model. Unlike the likelihood ratio statistic, whose large sample distribution is still unknown in this situation, these new statistics have a simple asymptotic distribution to which to refer under the null hypothesis. Simulation results suggest that it has adequate power in detecting the alternatives. Its application to genetic linkage analysis in the presence of the genetic heterogeneity that motivated this work is emphasized.

journal_name

Biometrics

journal_title

Biometrics

authors

Liang KY,Rathouz PJ

doi

10.1111/j.0006-341x.1999.00065.x

subject

Has Abstract

pub_date

1999-03-01 00:00:00

pages

65-74

issue

1

eissn

0006-341X

issn

1541-0420

journal_volume

55

pub_type

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