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1 to 10 of 19 Results

Analysis Reports for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial" Jun 12, 2020 - Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial Shumake, Jason, 2020, "Analysis Reports for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial"", https://doi.org/10.18738/T8/UWKEFM, Texas Data Repository Dataverse, V3 Analysis reports for outcome manuscript titled "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial." Reports are RMarkdowns that include the R code and the results from the R code.
Pre-print for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial" Apr 23, 2020 - Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial Beevers, Christopher, 2020, "Pre-print for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial"", https://doi.org/10.18738/T8/M9ZB1E, Texas Data Repository Dataverse, V1 Pre-prints of "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial."
Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial(University of Texas at Austin) Apr 19, 2020
Analysis code and supplemental materials Mar 18, 2020 - Neurocognitive predictors of self-reported reward responsivity and approach motivation in depression: a data-driven approach Hsu, Kean, 2020, "Analysis code and supplemental materials", https://doi.org/10.18738/T8/6ENXZW, Texas Data Repository Dataverse, V1 R markdown files, output, and supplemental tables for manuscript currently under invited resubmission
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...
Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions Sep 12, 2019 - Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions McNamara, Molly, 2019, "Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions", https://doi.org/10.18738/T8/DEFPNZ, Texas Data Repository Dataverse, V1 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. The current st...
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...
Analysis Code and Supplementary Materials Aug 8, 2019 - Association between negative cognitive bias and depression: A symptom-level approach Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository Dataverse, V1 These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.
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...
Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change" Jul 1, 2019 - Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse Beevers, Christopher, 2019, "Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"", https://doi.org/10.18738/T8/1JBY2V, Texas Data Repository Dataverse, V1 Raw data and statistical code accompanied by analysis narrative for reproducing pre- and post-ABM means for attention bias and BDI-II from the published paper. We are providing data to help facilitate meta-analyses in the future.

Analysis Reports for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial"

Jun 12, 2020 - Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial

Shumake, Jason, 2020, "Analysis Reports for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial"", https://doi.org/10.18738/T8/UWKEFM, Texas Data Repository Dataverse, V3

Analysis reports for outcome manuscript titled "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial." Reports are RMarkdowns that include the R code and the results from the R code.

Pre-print for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial"

Apr 23, 2020 - Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial

Beevers, Christopher, 2020, "Pre-print for "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial"", https://doi.org/10.18738/T8/M9ZB1E, Texas Data Repository Dataverse, V1

Pre-prints of "Efficacy of Attention Bias Modification Training for Depressed Adults: A Randomized Clinical Trial."

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

Apr 19, 2020

Analysis code and supplemental materials

Mar 18, 2020 - Neurocognitive predictors of self-reported reward responsivity and approach motivation in depression: a data-driven approach

Hsu, Kean, 2020, "Analysis code and supplemental materials", https://doi.org/10.18738/T8/6ENXZW, Texas Data Repository Dataverse, V1

R markdown files, output, and supplemental tables for manuscript currently under invited resubmission

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...

Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions

Sep 12, 2019 - Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions

McNamara, Molly, 2019, "Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions", https://doi.org/10.18738/T8/DEFPNZ, Texas Data Repository Dataverse, V1

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. The current st...

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...

Analysis Code and Supplementary Materials

Aug 8, 2019 - Association between negative cognitive bias and depression: A symptom-level approach

Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository Dataverse, V1

These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.

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...

Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"

Jul 1, 2019 - Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change Dataverse

Beevers, Christopher, 2019, "Data and analysis code for "Attention Bias Modification for Major Depressive Disorder: Effects on Attention Bias, Resting State Connectivity, and Symptom Change"", https://doi.org/10.18738/T8/1JBY2V, Texas Data Repository Dataverse, V1

Raw data and statistical code accompanied by analysis narrative for reproducing pre- and post-ABM means for attention bias and BDI-II from the published paper. We are providing data to help facilitate meta-analyses in the future.

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