Dr Andrew Lawrence speaks about dCVnet, a software tool (R package) for prediction modelling. It produces tuned elastic-net regression models with cross-validated prediction performance measures. This approach can be useful in smaller samples or with many predictors. The tool is fast, easy to use and, in contrast to more general prediction modelling software, requires minimal statistical programming experience. dCVnet was developed recently with support from the Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Trust and King’s College London and is freely available at [ Ссылка ].

Andrew is a postdoc in Prof. Paola Dazzan’s group in the Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience (King’s College London, London, UK). From a background in experimental psychology and neuropsychology his research interests now include structural and functional MRI networks and application of longitudinal and prediction modelling methods to psychiatric research.

Prediction Modelling Group

The Prediction Modelling Group provides a forum for researchers at King's College London’s Institute of Psychiatry, Psychology & Neuroscience (IoPPN) and clinicians at South London and Maudsley NHS Foundation Trust, who are interested in prediction modelling applications for precision medicine.

For more information, please visit our webpages: [ Ссылка ]

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