N
Nick Shryane
Researcher at University of Manchester
Publications - 42
Citations - 1683
Nick Shryane is an academic researcher from University of Manchester. The author has contributed to research in topics: Paranoia & Population. The author has an hindex of 16, co-authored 39 publications receiving 1326 citations. Previous affiliations of Nick Shryane include Greater Manchester West Mental Health NHS Foundation Trust & University of Hull.
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Journal ArticleDOI
The QCAE: A Questionnaire of Cognitive and Affective Empathy
TL;DR: The hypothesized 2-factor structure (cognitive and affective empathy) was tested and provided the best and most parsimonious fit to the data.
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The cognitive and affective structure of paranoid delusions: a transdiagnostic investigation of patients with schizophrenia spectrum disorders and depression.
Richard P. Bentall,Georgina Rowse,Nick Shryane,Peter Kinderman,Robert Howard,Nigel Blackwood,Rosie Moore,Rhiannon Corcoran +7 more
TL;DR: It is indicated that paranoid delusions are associated with a combination of pessimistic thinking style (low self-esteem, pessimistic explanatory style, and negative emotion) and impaired cognitive performance and treatment for paranoid patients should address both types of processes.
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Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning.
Bindu Vekaria,Bindu Vekaria,Christopher E. Overton,Christopher E. Overton,Arkadiusz Wiśniowski,Shazaad Ahmad,Andrea Aparicio-Castro,Jacob Curran-Sebastian,Jane Eddleston,Neil A. Hanley,Thomas House,Thomas House,Jihye Kim,Wendy Olsen,Maria Pampaka,Lorenzo Pellis,Diego Andres Perez Ruiz,John P. Schofield,Nick Shryane,Mark Elliot +19 more
TL;DR: The utility of three complementary methods for predicting hospital length of stay (LoS) using UK national- and hospital-level data is demonstrated and data-driven modelling approaches of LoS using these methods is useful in epidemic planning and management and should be considered for widespread adoption throughout healthcare systems internationally where similar data resources exist.
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The persecution and deservedness scale.
TL;DR: The PaDS is a reliable and valid measure of paranoid thinking and perceived deservedness of persecution, which is sensitive for use in clinical and non-clinical populations.
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Modeling the effects of combining diverse software fault detection techniques
TL;DR: It is shown that many of these results for design diversity have counterparts in diverse fault detection in a single software version, and it is possible for effectiveness to be even greater than it would be under an assumption of statistical independence.