Developing a practical suicide risk prediction model for targeting high-risk patients in the Veterans health Administration

Predicting suicides after outpatient mental health visits in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

(2016) R C Kessler et al.   MOLECULAR PSYCHIATRY

Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health

(2016) Jukka-Pekka Onnela et al.   NEUROPSYCHOPHARMACOLOGY

Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

(2016) R. C. Kessler et al.   Epidemiology and Psychiatric Sciences

Predictive Modeling and Concentration of the Risk of Suicide: Implications for Preventive Interventions in the US Department of Veterans Affairs

(2015) John F. McCarthy et al.   AMERICAN JOURNAL OF PUBLIC HEALTH

Risk of Suicide Among US Military Service Members Following Operation Enduring Freedom or Operation Iraqi Freedom Deployment and Separation From the US Military

(2015) Mark A. Reger et al.   JAMA Psychiatry

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers

(2015) Ronald C. Kessler et al.   JAMA Psychiatry

Regularization Paths for Generalized Linear Models via Coordinate Descent

(2015) Jerome Friedman et al.   Journal of Statistical Software

Resampling Methods Improve the Predictive Power of Modeling in Class-Imbalanced Datasets

(2014) Paul Lee   International Journal of Environmental Research and Public Health

Estimating treatment effect heterogeneity in randomized program evaluation

(2013) Kosuke Imai et al.   Annals of Applied Statistics

Machine learning approaches for the discovery of gene-gene interactions in disease data

(2012) R. Upstill-Goddard et al.   BRIEFINGS IN BIOINFORMATICS

Optimizing randomized trial designs to distinguish which subpopulations benefit from treatment

(2011) M. Rosenblum et al.   BIOMETRIKA

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING