123 citations
- King's College LondonGB5 papers
- Parc Sanitari Sant Joan de DéuES5 papers
- South London and Maudsley NHS Foundation TrustGB5 papers
- University College LondonGB5 papers
- Centro de Investigación Biomédica en Red de Salud MentalES4 papers
- KU LeuvenBE4 papers
- LAB University of Applied SciencesFI4 papers
- Universitat de BarcelonaES4 papers
- Health Data Research UKGB3 papers
- Lundbeck (Denmark)DK3 papers
- National Health ServiceGB3 papers
- Northwestern UniversityUS3 papers
Showing 2021Show all
3 papers · 1 filter
stat.ME2021★ 52 cited
Adjusting for indirectly measured confounding using large-scale propensity scores
Linying Zhang, Yixin Wang, Martijn Schuemie +2
Confounding remains one of the major challenges to causal inference with observational data. This problem is paramount in medicine, where we would like to answer causal questions f…
stat.ML2021★ 78 cited
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
Yuezhou Zhang, Amos A Folarin, Shaoxiong Sun +21
The Bluetooth sensor embedded in mobile phones provides an unobtrusive, continuous, and cost-efficient means to capture individuals' proximity information, such as the nearby Bluet…
cs.HC2021★ 10 cited
Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder
Judith Dineley, Grace Lavelle, Daniel Leightley +22
The ease of in-the-wild speech recording using smartphones has sparked considerable interest in the combined application of speech, remote measurement technology (RMT) and advanced…