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591 to 600 of 673 Results

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.
1.1-jds-model-performance-gene-predictors.html Jul 24, 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" HTML - 1.9 MB - MD5: 68f044134fe12baf70457502c800979d
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.
gene_selection.R Jul 24, 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 R Syntax - 3.7 KB - MD5: 4e0e18b0fbf272012e0ca2c1563c0f88
helpers.R Jul 24, 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 R Syntax - 4.8 KB - MD5: 15837599eb2a0e63e828f414f9572eea
train_ensembles.R Jul 24, 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 R Syntax - 8.2 KB - MD5: 62d5266c76a0a21ee42d19b97f7a5513
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.
main_analyses_revision.Rmd Jul 20, 2020 - Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach Unknown - 30.4 KB - MD5: 8aba9d524619508912348c34fef37815
supplemental_analyses_v2_revision.Rmd Jul 20, 2020 - Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach Unknown - 31.0 KB - MD5: 0655741396f362e4a449bc3498aed9a0
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.

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.

1.1-jds-model-performance-gene-predictors.html

Jul 24, 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"

HTML - 1.9 MB -

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.

gene_selection.R

Jul 24, 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

R Syntax - 3.7 KB -

helpers.R

R Syntax - 4.8 KB -

train_ensembles.R

R Syntax - 8.2 KB -

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.

main_analyses_revision.Rmd

Jul 20, 2020 - Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach

Unknown - 30.4 KB -

supplemental_analyses_v2_revision.Rmd

Jul 20, 2020 - Analysis Code and Supplementary Materials for Association between negative cognitive bias and depression: A symptom-level approach

Unknown - 31.0 KB -

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.

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