Research Methods Tutorials
- Discovering responders of psychiatric interventions using LGMM in the presence of missing data
- mHealth in Mental Health
- Causal Mediation Analysis for Stochastic Interventions
- Analyzing Medical Big Data: Challenges and Applications
Novel Statistical Methods and Software
- Banerjee S and Monni S. (2020) An Orthogonally Equivariant Estimator of the Covariance Matrix in High Dimensions and Small Sample Size.
- Diaz I, et al (2020) Non-parametric efficient causal mediation with intermediate confounders.
- Diaz I, and Hejazi NS (2020) Causal mediation analysis for stochastic interventions.
- Diaz I, and Williams N (2020) Non-parametric causal effects based on longitudinal modified treatment policies.
- Hejazi NS et al (2020) Nonparametric causal mediation analysis for stochastic interventional (in) direct effects.
- Rudolph KE, and Diaz I (2020) Efficiently transporting causal (in) direct effects to new populations under intermediate confounding and multiple mediators.
- Xu Z, et al (2020). Subphenotyping depression using machine learning and electronic health records.
- Yazdavar AH, et al (2020). Multimodal mental health analysis in social media.
- DeFerio J, et al (2018). Using electronic health records to characterize prescription patterns: focus on antidepressants in nonpsychiatric outpatient settings. 10.1093/jamiaopen/ooy037
- Zhang Y, et al (2021). Development and Validation of a Machine Learning Algorithm for Risk of Postpartum Depression among Pregnant Women.
- ‘medshift’: Causal mediation analysis