By Dr Nancy Briggs

Preprints

Wade SWT; Velan GM; Tedla N; Briggs N; Moscova M, 2023, What works in radiology education for medical students: A systematic review and meta-analysis, http://dx.doi.org/10.21203/rs.3.rs-3298772/v1

Tajbakhsh Z; Jalbert I; Stapleton F; Briggs N; Golebiowski B, 2022, Diurnal changes and topographical distribution of ocular surface epithelial dendritic cells in humans, and repeatability of density and morphology assessment, http://dx.doi.org/10.1101/2022.11.23.22282555

Norman-Nott N; Hesam-Shariati N; Wilks CR; Schroeder J; Suh J; Briggs NE; McAuley JH; Quidé Y; Gustin SM, 2022, Internet-Delivered Dialectical Behavioral Therapy Skills Training for Chronic Pain: Protocol for a Randomized Controlled Trial (Preprint), http://dx.doi.org/10.2196/preprints.41890

Fleming G; Neo B; Briggs N; Kaouar S; Frick P; Kimonis E, 2022, Parent Training Adapted to the Needs of Children with Callous-Unemotional Traits: A Randomized Controlled Trial, http://dx.doi.org/10.31234/osf.io/3hvrf

Mastrogiovanni C; Rosenbaum S; Delbaere K; Tiedemann A; Teasdale S; McGavin A; Briggs N; McKeon G, 2022, A mental health-informed, online health promotion program targeting physical activity and healthy eating for adults aged 60+ years: study protocol for the MovingTogether randomised controlled trial, http://dx.doi.org/10.21203/rs.3.rs-1607074/v1

Chidi-Egboka NC; Jalbert I; Chen J; Briggs N; Golebiowski B, 2022, Blink rate measuredin situdecreases while reading from printed text or digital devices, regardless of task duration, complexity or working distance, http://dx.doi.org/10.1101/2022.11.19.22282503

Indraratna P; Biswas U; McVeigh J; Mamo A; Magdy J; Vickers D; Watkins E; Ziegl A; Liu H; Cholerton N; Li J; Holgate K; Fildes J; Gallagher R; Ferry C; Jan S; Briggs N; Schreier G; Redmond SJ; Loh E; Yu J; Lovell NH; Ooi S-Y, 2021, A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial (Preprint), http://dx.doi.org/10.2196/preprints.32554

Kennedy L; Navarro D; Perfors A; Briggs N, 2019, Not every credible interval is credible: Evaluating robustness in the presence of contamination in Bayesian data analysis, http://dx.doi.org/10.31234/osf.io/gqs89

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