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Titolo:
Estimation of the number of "true" null hypotheses in multivariate analysis of neuroimaging data
Autore:
Turkheimer, FE; Smith, CB; Schmidt, K;
Indirizzi:
NIMH, Cerebral Metab Lab, Bethesda, MD 20892 USA NIMH Bethesda MD USA 20892 MH, Cerebral Metab Lab, Bethesda, MD 20892 USA Hammersmith Hosp, MRC, Cyclotron Unit, London W12 0NN, England HammersmithHosp London England W12 0NN on Unit, London W12 0NN, England
Titolo Testata:
NEUROIMAGE
fascicolo: 5, volume: 13, anno: 2001,
pagine: 920 - 930
SICI:
1053-8119(200105)13:5<920:EOTNO">2.0.ZU;2-I
Fonte:
ISI
Lingua:
ENG
Soggetto:
MULTIPLE TESTS; IMAGES; ANESTHESIA; ACTIVATION; VALUES; SPACE; RAT;
Keywords:
PET; autoradiography; multiple comparisons; P plot;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
37
Recensione:
Indirizzi per estratti:
Indirizzo: Schmidt, K NIMH, Cerebral Metab Lab, Bldg 36, Bethesda, MD 20892 USA NIMH Bldg 36 Bethesda MD USA 20892 g 36, Bethesda, MD 20892 USA
Citazione:
F.E. Turkheimer et al., "Estimation of the number of "true" null hypotheses in multivariate analysis of neuroimaging data", NEUROIMAGE, 13(5), 2001, pp. 920-930

Abstract

The repeated testing of a null univariate hypothesis in each of many sites(either regions of interest or voxels) is a common approach to the statistical analysis of brain functional images. Procedures, such as the Bonferroni, are available to maintain the Type I error of the set of tests at a specified level. An initial assumption of these methods is a "global null hypothesis," i.e., the statistics computed on each site are assumed to be generated by null distributions. This framework may be too conservative when a significant proportion of the sites is affected by the experimental manipulation. This report presents the development of a rigorous statistical procedure for use with a previously reported graphical method, the P plot, for estimation of the number of "true" null hypotheses in the set. This estimate can then be used to sharpen existing multiple comparison procedures. Performance of the P plot method in the multiple comparison problem is investigated in simulation studies and in the analysis of autoradiographic data. (C) 2001 Academic Press.

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Documento generato il 20/01/20 alle ore 07:55:48