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Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health

Valton, V; Wise, T; Robinson, O; (2020) Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health. In: Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Neural Information Processing Systems Green open access

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Type: Proceedings paper
Title: Recommendations for Bayesian hierarchical model specifications for case-control studies in mental health
Event: 34th Conference on Neural Information Processing Systems (NeurIPS 2020)
Open access status: An open access version is available from UCL Discovery
Publisher version: https://papers.nips.cc/
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Institute of Cognitive Neuroscience
URI: https://discovery.ucl.ac.uk/id/eprint/10114322
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