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Christopher G Beevers

Showing results (31-40 of 129) with videos related to

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Behaviour Research and Therapy|April 24, 2022
Not just "big" data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventionsMary E McNamara, Mackenzie Zisser, Christopher G Beevers, et al.
Cognition & Emotion|February 4, 2010
Unique association of approach motivation and mania vulnerabilityBjörn Meyer, Christopher G Beevers, Sheri L Johnson, et al.
Journal of Consulting and Clinical Psychology|December 19, 2007
Recovery from major depressive disorder among female adolescents: a prospective test of the scar hypothesisChristopher G Beevers, Paul Rohde, Eric Stice, et al.
Clinical Psychological Science : a Journal of the Association for Psychological Science|January 19, 2016
Serotonin promoter polymorphism (5-HTTLPR) predicts biased attention for emotion stimuli: Preliminary evidence of moderation by the social environmentRahel Pearson, John McGeary, W Todd Maddox, et al.
Neuropsychologia|June 19, 2012
Memory monitoring performance and PFC activity are associated with 5-HTTLPR genotype in older adultsJennifer Pacheco, Christopher G Beevers, John E McGeary, et al.
Psychiatry Research. Neuroimaging|April 8, 2017
Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorderDavid M Schnyer, Peter C Clasen, Christopher Gonzalez, et al.
Scientific Reports|February 13, 2021
Inclusion of genetic variants in an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment responseJason Shumake, Travis T Mallard, John E McGeary, et al.
Depression and Anxiety|November 12, 2019
Network analyses reveal which symptoms improve (or not) following an Internet intervention (Deprexis) for depressionMichael C Mullarkey, Aliza T Stein, Rahel Pearson, et al.
Cognitive Therapy and Research|January 5, 2010
Identification of emotionally ambiguous interpersonal stimuli among dysphoric and nondysphoric individualsChristopher G Beevers, Tony T Wells, Alissa J Ellis, et al.
Psychological Medicine|November 6, 2018
A machine learning ensemble to predict treatment outcomes following an Internet intervention for depressionRahel Pearson, Derek Pisner, Björn Meyer, et al.
Pageof 13

Showing results (31-40 of 129) with videos related to

Sort By:
Pageof 13
Behaviour Research and Therapy|April 24, 2022
Not just "big" data: Importance of sample size, measurement error, and uninformative predictors for developing prognostic models for digital interventionsMary E McNamara, Mackenzie Zisser, Christopher G Beevers, et al.
Cognition & Emotion|February 4, 2010
Unique association of approach motivation and mania vulnerabilityBjörn Meyer, Christopher G Beevers, Sheri L Johnson, et al.
Journal of Consulting and Clinical Psychology|December 19, 2007
Recovery from major depressive disorder among female adolescents: a prospective test of the scar hypothesisChristopher G Beevers, Paul Rohde, Eric Stice, et al.
Clinical Psychological Science : a Journal of the Association for Psychological Science|January 19, 2016
Serotonin promoter polymorphism (5-HTTLPR) predicts biased attention for emotion stimuli: Preliminary evidence of moderation by the social environmentRahel Pearson, John McGeary, W Todd Maddox, et al.
Neuropsychologia|June 19, 2012
Memory monitoring performance and PFC activity are associated with 5-HTTLPR genotype in older adultsJennifer Pacheco, Christopher G Beevers, John E McGeary, et al.
Psychiatry Research. Neuroimaging|April 8, 2017
Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorderDavid M Schnyer, Peter C Clasen, Christopher Gonzalez, et al.
Scientific Reports|February 13, 2021
Inclusion of genetic variants in an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment responseJason Shumake, Travis T Mallard, John E McGeary, et al.
Depression and Anxiety|November 12, 2019
Network analyses reveal which symptoms improve (or not) following an Internet intervention (Deprexis) for depressionMichael C Mullarkey, Aliza T Stein, Rahel Pearson, et al.
Cognitive Therapy and Research|January 5, 2010
Identification of emotionally ambiguous interpersonal stimuli among dysphoric and nondysphoric individualsChristopher G Beevers, Tony T Wells, Alissa J Ellis, et al.
Psychological Medicine|November 6, 2018
A machine learning ensemble to predict treatment outcomes following an Internet intervention for depressionRahel Pearson, Derek Pisner, Björn Meyer, et al.
Pageof 13