output
20152020
most citedUsing smartphones and wearable devices to monitor behavioural changes during COVID-19

204 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

q-bio.QM2020★ 204 cited

Using smartphones and wearable devices to monitor behavioural changes during COVID-19

Shaoxiong Sun, Amos Folarin, Yatharth Ranjan +23

We aimed to explore the utility of the recently developed open-source mobile health platform RADAR-base as a toolbox to rapidly test the effect and response to NPIs aimed at limiti…

stat.ME2018★ 6 cited

Adaptive group-regularized logistic elastic net regression

Magnus M. Münch, Carel F. W. Peeters, Aad W. van der Vaart +1

In high-dimensional data settings, additional information on the features is often available. Examples of such external information in omics research are: (a) p-values from a previ…

q-bio.NC2016★ 121 cited

Detecting functional decline from normal ageing to dementia: development and validation of a short version of the Amsterdam IADL Questionnaire

Roos J. Jutten, Carel F. W. Peeters, Sophie M. J. Leijdesdorff +5

INTRODUCTION: Detecting functional decline from normal ageing to dementia is relevant for diagnostic and prognostic purposes. Therefore, the Amsterdam IADL Questionnaire (A-IADL-Q)…

stat.CO2016★ 6 cited

The Spectral Condition Number Plot for Regularization Parameter Determination

Carel F. W. Peeters, Mark A. van de Wiel, Wessel N. van Wieringen

Many modern statistical applications ask for the estimation of a covariance (or precision) matrix in settings where the number of variables is larger than the number of observation…

stat.ME2015★ 63 cited

Lecture notes on ridge regression

Wessel N. van Wieringen

The linear regression model cannot be fitted to high-dimensional data, as the high-dimensionality brings about empirical non-identifiability. Penalized regression overcomes this no…