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Jason Shumake · Study

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Jason Shumake

11 works· latest 2025· 2 institutionscluster: provisionalORCID 0000-0003-4655-436X

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Citations1,665

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Most cited in this library

Internet-Based Cognitive Behavioral Therapy for Depression2021 · 864 citations
Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data2021 · 255 citations
Association between negative cognitive bias and depression: A symptom-level approach.2019 · 145 citations
Self-referential schemas and attentional bias predict severity and naturalistic course of depression symptoms2016 · 98 citations
A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression2018 · 81 citations

Works

11 shown

The Role of Hope in Recovery During Transdiagnostic Exposure-Based Therapy for Anxiety-, Obsessive–Compulsive and Trauma- and Stressor-Related Disorders

Behavior Therapy·2025·10 authors·Open access

4citations

Conversational assessment using artificial intelligence is as clinically useful as depression scales and preferred by users

Journal of Affective Disorders·2024·10 authors·Open access

27citations

Web-Based Single Session Intervention for Perceived Control Over Anxiety During COVID-19: Randomized Controlled Trial

JMIR Mental Health·2022·7 authors·Open access

17citations

Dismantling, optimising, and personalising internet cognitive behavioural therapy for depression: a systematic review and component network meta-analysis using individual participant data

The Lancet Psychiatry·2021·79 authors·review·Open access

255citations

Improving prediction of real-time loneliness and companionship type using geosocial features of personal smartphone data

Smart Health·2021·9 authors·Open access

40citations

Internet-Based Cognitive Behavioral Therapy for Depression

JAMA Psychiatry·2021·72 authors·review·Open access

864citations

Association between negative cognitive bias and depression: A symptom-level approach.

Journal of Abnormal Psychology·2019·8 authors·Open access

145citations

A machine learning ensemble to predict treatment outcomes following an Internet intervention for depression

Psychological Medicine·2018·5 authors·Open access

81citations

Determining optimal parameters of the self-referent encoding task: A large-scale examination of self-referent cognition and depression.

Psychological Assessment·2018·5 authors·Open access

65citations

Effectiveness of an internet intervention (Deprexis) for depression in a United States adult sample: A parallel-group pragmatic randomized controlled trial.

Journal of Consulting and Clinical Psychology·2017·5 authors

69citations

Self-referential schemas and attentional bias predict severity and naturalistic course of depression symptoms

Cognition & Emotion·2016·3 authors

98citations