Permutation tests for detecting and estimating mixtures in task performance within groups

被引:5
作者
Lo, YT
Matthysse, S
Rubin, DB
Holzman, PS
机构
[1] Montefiore Med Ctr, Albert Einstein Coll Med, Dept Epidemiol & Social Med, AIDS Res Program, Bronx, NY 10467 USA
[2] Harvard Univ, Sch Med, Dept Psychiat, Belmont, MA 02178 USA
[3] McLean Hosp, Psychol Res Lab, Belmont, MA 02178 USA
[4] Harvard Univ, Dept Stat, Cambridge, MA 02138 USA
关键词
working memory; mixture distribution; schizophrenia; permutation test; EM algorithm; maximum likelihood;
D O I
10.1002/sim.1140
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We propose a two-sample permutation test incorporating mixture models as a general tool for detecting and quantifying effects on task performance. We illustrate the proposed method with examples where the dependent measures under investigation are recorded for normal controls and relatives of patients with schizophrenia on a delayed response, spatial and object working memory task. Our mixture modelling in relatives allows the component distributions to arise from different continuous parametric families. We also investigate the effects of the within-family correlation and the prior distribution of the mixing proportion on the test results. The power of the test depends on sample sizes. the mixing proportion, the difference in component means and the ratio of component variances, Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:1937 / 1953
页数:17
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