Mood Disorders Laboratory Dataverse

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11 to 20 of 22 Results

Attention Bias Modification Training - Mediation (R33 grant)(University of Texas at Austin) Jun 18, 2021 Analysis code for ABMT mediation manuscript
Prognostic Modeling for Digital Interventions(University of Texas at Austin) Jun 18, 2021 Repository for article titled "Not Just ``Big'' Data: Importance of Sample Size, Measurement Error, and Uninformative Predictors for Developing Prognostic Models for Digital Interventions."
SNPs, prediction, and STARD trial(University of Texas at Austin) Jul 24, 2020 Analysis code and supplemental materials for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STARD trial"
Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial(University of Texas at Austin) Apr 19, 2020
Neurocognitive predictors of self-reported reward responsivity and approach motivation in depression: a data-driven approach(University of Texas at Austin) Mar 18, 2020 Data analysis code, resulting output (generated by R markdown), and raw data for manuscript under invited resubmission. Abstract: Individual differences in reward-related processes, such as reward responsivity and approach motivation, appear to play a role in the nature and cours...
Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions(University of Texas at Austin) Sep 12, 2019 This is the data and code for a submitted manuscript. Abstract: While Major Depressive Disorder (MDD) is a leading cause of disability, prior investigations may have been limited by studying single explanatory factors rather than considering multiple etiologies simultaneously. Th...
Association between negative cognitive bias and depression: A symptom-level approach(University of Texas at Austin) Aug 8, 2019 This dataverse contains the analysis code and results for the main findings and supplemental materials for the following publication: Beevers, C. G., Mullarkey, M. C., Dainer-Best, J., Stewart, R. A., Labrada, J., Allen, J. J. B., … Shumake, J. (2019). Association between negativ...
Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse(University of Texas at Austin) Jul 1, 2019 Data for published article: Beevers, C. G., Clasen, P. C., Enock, P. M., & Schnyer, D. M. (2015). Attention bias modification for major depressive disorder: Effects on attention bias, resting state connectivity, and symptom change. Journal of Abnormal Psychology, 124(3), 463–475....
Acetaminophen and Reflective vs. Reflexive Learning(University of Texas at Austin) Jun 14, 2019 Dataverse contains the data, analysis code, and additional analyses related to the following publication: Pearson, R., Koslov, S., Hamilton, B., Shumake, J., Carver, C. S., & Beevers, C. G. (2018). Acetaminophen enhances the reflective learning process. Social Cognitive and Affec...
Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression(The University of Texas at Austin) May 21, 2018 This dataverse includes replication data and materials for the article entitled "Positive Imagery Training Increases Positive Self-Referent Cognition in Depression".

Attention Bias Modification Training - Mediation (R33 grant)(University of Texas at Austin)

Jun 18, 2021

Analysis code for ABMT mediation manuscript

Prognostic Modeling for Digital Interventions(University of Texas at Austin)

Jun 18, 2021

Repository for article titled "Not Just ``Big'' Data: Importance of Sample Size, Measurement Error, and Uninformative Predictors for Developing Prognostic Models for Digital Interventions."

SNPs, prediction, and STAR*D trial(University of Texas at Austin)

Jul 24, 2020

Analysis code and supplemental materials for "Inclusion of single nucleotide polymorphisms into an ensemble of gradient boosting decision trees does not improve the prediction of citalopram treatment response in the STAR*D trial"

Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial(University of Texas at Austin)

Apr 19, 2020

Neurocognitive predictors of self-reported reward responsivity and approach motivation in depression: a data-driven approach(University of Texas at Austin)

Mar 18, 2020

Data analysis code, resulting output (generated by R markdown), and raw data for manuscript under invited resubmission. Abstract: Individual differences in reward-related processes, such as reward responsivity and approach motivation, appear to play a role in the nature and cours...

Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions(University of Texas at Austin)

Sep 12, 2019

This is the data and code for a submitted manuscript. Abstract: While Major Depressive Disorder (MDD) is a leading cause of disability, prior investigations may have been limited by studying single explanatory factors rather than considering multiple etiologies simultaneously. Th...

Association between negative cognitive bias and depression: A symptom-level approach(University of Texas at Austin)

Aug 8, 2019

This dataverse contains the analysis code and results for the main findings and supplemental materials for the following publication: Beevers, C. G., Mullarkey, M. C., Dainer-Best, J., Stewart, R. A., Labrada, J., Allen, J. J. B., … Shumake, J. (2019). Association between negativ...

Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse(University of Texas at Austin)

Jul 1, 2019

Data for published article: Beevers, C. G., Clasen, P. C., Enock, P. M., & Schnyer, D. M. (2015). Attention bias modification for major depressive disorder: Effects on attention bias, resting state connectivity, and symptom change. Journal of Abnormal Psychology, 124(3), 463–475....

Acetaminophen and Reflective vs. Reflexive Learning(University of Texas at Austin)

Jun 14, 2019

Dataverse contains the data, analysis code, and additional analyses related to the following publication: Pearson, R., Koslov, S., Hamilton, B., Shumake, J., Carver, C. S., & Beevers, C. G. (2018). Acetaminophen enhances the reflective learning process. Social Cognitive and Affec...

Replication data and materials for Positive Imagery Training Increases Positive Self-Referent Cognition in Depression(The University of Texas at Austin)

May 21, 2018

This dataverse includes replication data and materials for the article entitled "Positive Imagery Training Increases Positive Self-Referent Cognition in Depression".

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