Longitudinal analysis of the strengths and difficulties questionnaire scores of the Millennium Cohort Study children in England using M-quantile random-effects regression

被引：31
|
作者：
Tzavidis, Nikos [1 ]
Salvati, Nicola [2 ]
Schmid, Timo [3 ]
Flouri, Eirini [4 ]
Midouhas, Emily [4 ]
机构：
[1] Univ Southampton, Southampton SO9 5NH, Hants, England
[2] Univ Pisa, I-156124 Pisa, Italy
[3] Free Univ Berlin, Berlin, Germany
[4] UCL, London WC1E 6BT, England
来源：
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY | 2016年 / 179卷 / 02期
基金：
英国经济与社会研究理事会;
关键词：
Influence function; Multilevel modelling; Quantile regression; Repeated measures; Robust estimation; MAXIMUM-LIKELIHOOD; BEHAVIORAL-PROBLEMS; MODELS; PSYCHOPATHOLOGY; DEPRESSION; POVERTY; RISK;
D O I：
10.1111/rssa.12126
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
Multilevel modelling is a popular approach for longitudinal data analysis. Statistical models conventionally target a parameter at the centre of a distribution. However, when the distribution of the data is asymmetric, modelling other location parameters, e.g. percentiles, may be more informative. We present a new approach, M-quantile random-effects regression, for modelling multilevel data. The proposed method is used for modelling location parameters of the distribution of the strengths and difficulties questionnaire scores of children in England who participate in the Millennium Cohort Study. Quantile mixed models are also considered. The analyses offer insights to child psychologists about the differential effects of risk factors on children's outcomes.
引用
收藏
页码：427 / 452
页数：26
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