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

@inproceedings{Tzavidis2016LongitudinalAO,
  title={Longitudinal analysis of the strengths and difficulties questionnaire scores of the Millennium Cohort Study children in England using M‐quantile random‐effects regression},
  author={Nikos Tzavidis and Nicola Salvati and Timo Schmid and Eirini Flouri and Emily Midouhas},
  booktitle={Journal of the Royal Statistical Society. Series A,},
  year={2016}
}
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… CONTINUE READING
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