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1 to 10 of 23 Results
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 Dataverse, V1
Data munging code
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 Dataverse, V1
Analysis code for the results presented in the manuscript.
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 Dataverse, 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"
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 Dataverse, V2
These files are the supplementary materials and analysis code used to generate the results reported in the Journal of Abnormal manuscript.
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.
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."
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 Dataverse, V1
R markdown files, output, and supplemental tables for manuscript currently under invited resubmission
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...
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