Modelling psychiatric measures using Skew-Normal distributions

被引：17
|
作者：
Counsell, N. [1 ]
Cortina-Borja, M. [2 ]
Lehtonen, A. [1 ]
Stein, A. [1 ]
机构：
[1] Univ Oxford, Warneford Hosp, Dept Psychiat, Oxford OX3 7JX, England
[2] UCL, UCL Inst Child Hlth, Ctr Paediat Epidemiol & Biostat, London WC1N 1EH, England
来源：
EUROPEAN PSYCHIATRY | 2011年 / 26卷 / 02期
基金：
英国惠康基金; 英国医学研究理事会;
关键词：
Child Development; Biostatistics; Skewness;
D O I：
10.1016/j.eurpsy.2010.08.006
中图分类号：
R749 [精神病学];
学科分类号：
100205 ;
摘要：
Data from psychiatric research frequently exhibit departures from Normality. Methods which utilise the data optimally to model the distribution directly are available. We highlight the issue of modelling skewness, resulting from screening instruments where the majority of respondents are healthy individuals and few participants have a value reflecting particular disorders. (c) 2010 Elsevier Masson SAS. All rights reserved.
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页码：112 / 114
页数：3
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