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; Nicholas Cummins; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; Petroula Laiou; Faith Matcham; Carolin Oetzmann; Femke Lamers; et al. (CoRR, 2021)

Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. - Carolin Oetzmann; Katie M. White; Alina Ivan; Jessica Julie; Daniel Leightley; Grace Lavelle; Femke Lamers; Sara Siddi; Peter Annas; Sara Arranz Garcia; Josep Maria Haro; David C. Mohr; et al. (npj Digit. Medicine, 2022)

Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study. - Yuezhou Zhang; Abhishek Pratap; Amos A. Folarin; Shaoxiong Sun; Nicholas Cummins; Faith Matcham; Srinivasan Vairavan; Judith Dineley; Yatharth Ranjan; Zulqarnain Rashid; Pauline Conde; Callum L. Stewart; et al. (npj Digit. Medicine, 2023)

Generating normative data from web-based administration of the Cambridge Neuropsychological Test Automated Battery using a Bayesian framework. - Elizabeth Wragg; Caroline Skirrow; Pasquale Dente; Jack Cotter; Peter Annas; Milly Lowther; Rosa Backx; Jenny Barnett; Fiona Cree; Jasmin Kroll; Francesca Cormack (Frontiers Digit. Health, 2024)