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Plos One
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June 4, 2016
Social and Spatial Clustering of People at Humanity's Largest Gathering
Ian Barnett, Tarun Khanna, Jukka-Pekka Onnela
Biometrics
|
December 24, 2021
Neural networks for clustered and longitudinal data using mixed effects models
Francesca Mandel, Riddhi Pratim Ghosh, Ian Barnett
Biometrics
|
September 19, 2025
The Cox-Pólya-Gamma algorithm for flexible Bayesian inference of multilevel survival models
Benny Ren, Jeffrey S Morris, Ian Barnett
Journal of Integrative and Complementary Medicine
|
June 5, 2024
The Potential for Digital Phenotyping in Understanding Mindfulness App Engagement Patterns: A Pilot Study
Lucy Gray, Natalia Marcynikola, Ian Barnett, et al.
NPJ Schizophrenia
|
May 7, 2020
Towards clinically actionable digital phenotyping targets in schizophrenia
Philip Henson, Ian Barnett, Matcheri Keshavan, et al.
World Psychiatry : Official Journal of the World Psychiatric Association (WPA)
|
September 15, 2020
Smartphone relapse prediction in serious mental illness: a pathway towards personalized preventive care
John Torous, Tanzeem Choudhury, Ian Barnett, et al.
Journal of the American Medical Informatics Association : JAMIA
|
October 2, 2018
Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data
Ian Barnett, John Torous, Patrick Staples, et al.
JMIR Formative Research
|
September 14, 2022
Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study
Benny Ren, Cedric Huchuan Xia, Philip Gehrman, et al.
NPJ Schizophrenia
|
April 8, 2018
A crossroad for validating digital tools in schizophrenia and mental health
John Torous, Patrick Staples, Ian Barnett, et al.
World Neurosurgery
|
February 25, 2019
Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life
David J Cote, Ian Barnett, Jukka-Pekka Onnela, et al.
Page
of 5
Search research articles
Search
Showing results (11-20 of 42) with videos related to
Sort By:
Page
of 5
Plos One
|
June 4, 2016
Social and Spatial Clustering of People at Humanity's Largest Gathering
Ian Barnett, Tarun Khanna, Jukka-Pekka Onnela
Biometrics
|
December 24, 2021
Neural networks for clustered and longitudinal data using mixed effects models
Francesca Mandel, Riddhi Pratim Ghosh, Ian Barnett
Biometrics
|
September 19, 2025
The Cox-Pólya-Gamma algorithm for flexible Bayesian inference of multilevel survival models
Benny Ren, Jeffrey S Morris, Ian Barnett
Journal of Integrative and Complementary Medicine
|
June 5, 2024
The Potential for Digital Phenotyping in Understanding Mindfulness App Engagement Patterns: A Pilot Study
Lucy Gray, Natalia Marcynikola, Ian Barnett, et al.
NPJ Schizophrenia
|
May 7, 2020
Towards clinically actionable digital phenotyping targets in schizophrenia
Philip Henson, Ian Barnett, Matcheri Keshavan, et al.
World Psychiatry : Official Journal of the World Psychiatric Association (WPA)
|
September 15, 2020
Smartphone relapse prediction in serious mental illness: a pathway towards personalized preventive care
John Torous, Tanzeem Choudhury, Ian Barnett, et al.
Journal of the American Medical Informatics Association : JAMIA
|
October 2, 2018
Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data
Ian Barnett, John Torous, Patrick Staples, et al.
JMIR Formative Research
|
September 14, 2022
Measuring Daily Activity Rhythms in Young Adults at Risk of Affective Instability Using Passively Collected Smartphone Data: Observational Study
Benny Ren, Cedric Huchuan Xia, Philip Gehrman, et al.
NPJ Schizophrenia
|
April 8, 2018
A crossroad for validating digital tools in schizophrenia and mental health
John Torous, Patrick Staples, Ian Barnett, et al.
World Neurosurgery
|
February 25, 2019
Digital Phenotyping in Patients with Spine Disease: A Novel Approach to Quantifying Mobility and Quality of Life
David J Cote, Ian Barnett, Jukka-Pekka Onnela, et al.
Page
of 5