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1 to 10 of 23 Results

Replication Data for: Multifactorial Prediction of Depression Diagnosis and Symptom Dimensions Feb 11, 2021 - 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, V2 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...
Data munging code 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" Jul 24, 2020 - SNPs, prediction, and STARD trial Shumake, Jason, 2020, "Data munging code 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"", https://doi.org/10.18738/T8/NVAUFR, Texas Data Repository, V1 Data munging code
Primary analysis code and report 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" Jul 24, 2020 - SNPs, prediction, and STARD trial Shumake, Jason, 2020, "Primary analysis code and report 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"", https://doi.org/10.18738/T8/YC49CY, Texas Data Repository, V1 Analysis code for the results presented in the manuscript.
R scripts for snp selection and ensemble learning 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 Jul 24, 2020 - SNPs, prediction, and STARD trial Shumake, Jason, 2020, "R scripts for snp selection and ensemble learning 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", https://doi.org/10.18738/T8/GHJK6C, Texas Data Repository, V1 R scripts for snp selection and ensemble learning in STARD trial.
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"
Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach Jul 20, 2020 - Association between negative cognitive bias and depression: A symptom-level approach Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository, V2 These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.
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, 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, 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; Beevers, Christopher, 2020, "Analysis code and supplemental materials", https://doi.org/10.18738/T8/6ENXZW, Texas Data Repository, V1 R markdown files, output, and supplemental tables for manuscript currently under invited resubmission

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

Feb 11, 2021 - 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, V2

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...

Data munging code 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"

Jul 24, 2020 - SNPs, prediction, and STAR*D trial

Shumake, Jason, 2020, "Data munging code 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"", https://doi.org/10.18738/T8/NVAUFR, Texas Data Repository, V1

Data munging code

Primary analysis code and report 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"

Jul 24, 2020 - SNPs, prediction, and STAR*D trial

Shumake, Jason, 2020, "Primary analysis code and report 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"", https://doi.org/10.18738/T8/YC49CY, Texas Data Repository, V1

Analysis code for the results presented in the manuscript.

R scripts for snp selection and ensemble learning 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

Jul 24, 2020 - SNPs, prediction, and STAR*D trial

Shumake, Jason, 2020, "R scripts for snp selection and ensemble learning 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", https://doi.org/10.18738/T8/GHJK6C, Texas Data Repository, V1

R scripts for snp selection and ensemble learning in STAR*D trial.

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"

Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach

Jul 20, 2020 - Association between negative cognitive bias and depression: A symptom-level approach

Beevers, Christopher, 2019, "Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach", https://doi.org/10.18738/T8/2QPR9Z, Texas Data Repository, V2

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

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, 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, 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; Beevers, Christopher, 2020, "Analysis code and supplemental materials", https://doi.org/10.18738/T8/6ENXZW, Texas Data Repository, V1

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

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