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1 to 10 of 31 Results
Jan 24, 2022 - Prognostic Modeling for Digital Interventions
Beevers, Christopher, 2021, "Manuscript pre-print", https://doi.org/10.18738/T8/ZJVQCT, Texas Data Repository, V2
Pre-print of manuscript.
Jan 13, 2022 - Prognostic Modeling for Digital Interventions
Shumake, Jason, 2022, "Figures", https://doi.org/10.18738/T8/F230NV, Texas Data Repository, V1
Individual, high-res versions of results visualization
Jan 13, 2022 - Prognostic Modeling for Digital Interventions
Shumake, Jason, 2021, "Simulation Results Tables", https://doi.org/10.18738/T8/ZQLXF3, Texas Data Repository, V2
Data used in simulation figures.
Jan 13, 2022 - Prognostic Modeling for Digital Interventions
Jason Shumake, 2021, "Analysis Code", https://doi.org/10.18738/T8/Y9HKXG, Texas Data Repository, V2
Analysis code used to create the simulations presented in the paper.
Sep 7, 2021 - Attention Bias Modification Training - Mediation (R33 grant)
Beevers, Christopher, 2021, "Pre-print for "Change in Negative Attention Bias Mediates the Association BetweenAttention Bias Modification Training and Depression Symptom Improvement"", https://doi.org/10.18738/T8/N7CWE8, Texas Data Repository, V1
Pre-print for manuscript titled "Change in Negative Attention Bias Mediates the Association Between Attention Bias Modification Training and Depression Symptom Improvement" by Christopher G. Beevers, Kean J. Hsu, David M. Schnyer, Jasper A.J. Smits, & Jason Shumake to appear in t...
Jun 18, 2021 - Attention Bias Modification Training - Mediation (R33 grant)
Shumake, Jason, 2021, "Analysis Reports for manuscript "Change in Negative Attention Bias Mediates the Association Between Attention Bias Modification Training and Depression Symptom Improvement"", https://doi.org/10.18738/T8/G2KV5B, Texas Data Repository, V1
Analysis reports used for the manuscript "Change in Negative Attention Bias Mediates the Association Between Attention Bias Modification Training and Depression Symptom Improvement"
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."
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...
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
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