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Tadashi Kato

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Corrigendum to “Can personalized treatment prediction improve the outcomes, compared with the group average approach, in a randomized trial? Developing and validating a multivariable prediction model in a pragmatic megatrial of acute treatment for major depression”. [Journal of Affective Disorders 274 (2020) 690-697]

2020 Journal of Affective Disorders
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Predictors of hypomanic and/or manic switch among patients initially diagnosed with unipolar major depression during acute‐phase antidepressants treatment

2019 Psychiatry and Clinical Neurosciences
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Predicting relapse in major depression after successful initial pharmacological treatment

2019 Journal of Affective Disorders
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Association between patients’ feedback comments and depressive mood, satisfaction, homework conducted, and dropouts during self‐guided smartphone cognitive behavioral therapy

2019 Psychiatry and Clinical Neurosciences
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Trajectory of criterion symptoms of major depression under newly started antidepressant treatment : sleep disturbances and anergia linger on while suicidal ideas and psychomotor symptoms disappear early

2019 Acta Psychiatrica Scandinavica
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Dropouts in an Antidepressant Trial: How Do They Fare Afterwards?

2018 Psychotherapy and Psychosomatics
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Optimising first- and second-line treatment strategies for untreated major depressive disorder — the SUN☺D study: a pragmatic, multi-centre, assessor-blinded randomised controlled trial

2018 BMC Medicine
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Smartphone Cognitive Behavioral Therapy as an Adjunct to Pharmacotherapy for Refractory Depression: Randomized Controlled Trial

2017 Journal of Medical Internet Research
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Analyzing psychophysiological effects of music using coherency of multichannel EEG.

2016
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Strategic use of new generation antidepressants for depression: SUN(^_^) D protocol update and statistical analysis plan

2015 Trials
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