Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jonathan D Hafferty

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
BMC Psychiatry|December 15, 2023
A service evaluation of passive remote monitoring technology for patients in a high-secure forensic psychiatric hospital: a qualitative studyLindsay H Dewa, Josephine Broyd, Rita Hira, et al.
Journal of Clinical Epidemiology|November 4, 2017
Self-reported medication use validated through record linkage to national prescribing dataJonathan D Hafferty, Archie I Campbell, Lauren B Navrady, et al.
Nature Human Behaviour|April 2, 2019
How data science can advance mental health researchTom C Russ, Eva Woelbert, Katrina A S Davis, et al.
Social Psychiatry and Psychiatric Epidemiology|May 25, 2019
The role of neuroticism in self-harm and suicidal ideation: results from two UK population-based cohortsJonathan D Hafferty, L B Navrady, M J Adams, et al.
Journal of Psychopharmacology (Oxford, England)|February 28, 2019
Pharmaco-epidemiology of antidepressant exposure in a UK cohort record-linkage studyJonathan D Hafferty, Eleanor M Wigmore, David M Howard, et al.
Ebiomedicine|November 14, 2016
Shared Genetics and Couple-Associated Environment Are Major Contributors to the Risk of Both Clinical and Self-Declared DepressionYanni Zeng, Pau Navarro, Charley Xia, et al.
Translational Psychiatry|December 1, 2017
Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK BiobankDavid M Howard, Lynsey S Hall, Jonathan D Hafferty, et al.
The Pharmacogenomics Journal|February 1, 2019
Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEPEleanor M Wigmore, Jonathan D Hafferty, Lynsey S Hall, et al.
Nature Neuroscience|February 6, 2019
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regionsDavid M Howard, Mark J Adams, Toni-Kim Clarke, et al.
Wellcome Open Research|March 4, 2022
Cohort profile for the STratifying Resilience and Depression Longitudinally (STRADL) study: A depression-focused investigation of Generation Scotland, using detailed clinical, cognitive, and neuroimaging assessmentsTina Habota, Anca-Larisa Sandu, Gordon D Waiter, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
BMC Psychiatry|December 15, 2023
A service evaluation of passive remote monitoring technology for patients in a high-secure forensic psychiatric hospital: a qualitative studyLindsay H Dewa, Josephine Broyd, Rita Hira, et al.
Journal of Clinical Epidemiology|November 4, 2017
Self-reported medication use validated through record linkage to national prescribing dataJonathan D Hafferty, Archie I Campbell, Lauren B Navrady, et al.
Nature Human Behaviour|April 2, 2019
How data science can advance mental health researchTom C Russ, Eva Woelbert, Katrina A S Davis, et al.
Social Psychiatry and Psychiatric Epidemiology|May 25, 2019
The role of neuroticism in self-harm and suicidal ideation: results from two UK population-based cohortsJonathan D Hafferty, L B Navrady, M J Adams, et al.
Journal of Psychopharmacology (Oxford, England)|February 28, 2019
Pharmaco-epidemiology of antidepressant exposure in a UK cohort record-linkage studyJonathan D Hafferty, Eleanor M Wigmore, David M Howard, et al.
Ebiomedicine|November 14, 2016
Shared Genetics and Couple-Associated Environment Are Major Contributors to the Risk of Both Clinical and Self-Declared DepressionYanni Zeng, Pau Navarro, Charley Xia, et al.
Translational Psychiatry|December 1, 2017
Genome-wide haplotype-based association analysis of major depressive disorder in Generation Scotland and UK BiobankDavid M Howard, Lynsey S Hall, Jonathan D Hafferty, et al.
The Pharmacogenomics Journal|February 1, 2019
Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEPEleanor M Wigmore, Jonathan D Hafferty, Lynsey S Hall, et al.
Nature Neuroscience|February 6, 2019
Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regionsDavid M Howard, Mark J Adams, Toni-Kim Clarke, et al.
Wellcome Open Research|March 4, 2022
Cohort profile for the STratifying Resilience and Depression Longitudinally (STRADL) study: A depression-focused investigation of Generation Scotland, using detailed clinical, cognitive, and neuroimaging assessmentsTina Habota, Anca-Larisa Sandu, Gordon D Waiter, et al.
Pageof 2