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Hybrid approach to predict resting CD4+ T-cell reservoirs of HIV-1: Viral dynamics modeling and machine learning framework
Hypothesis testing under stratified community-based cluster randomized trials with a small number of clusters
Large-scale inference incorporating covariates and network dependence, with application to genome-wide association studies
Latent class analysis and random forest ensemble to identify at-risk students in higher education
Machine learning methods for course enrollment prediction
Model considerations for multi-entry competitions
Neural networks for estimating individualized treatment effects in observational studies
Novel Random Forest And Variable Importance Methods For Correlated Survival Data, With Applications To Tooth Prognosis
Novel Random Forest Methods Applied to Medical Studies
Novel random forest and variable importance methods for clustered data
Optimal Global Average Annual Mean Temperature Estimation using Station Data and Spherical Harmonics
Optimal reconstruction of U.S. temperature and precipitation since 1895
Predicting glaucoma progression using random forests for correlated binary response based on longitudinally collected standard automated perimetry data
Prediction and its error estimation of the United States monthly precipitation by super-ensemble canonical correlation analysis
Quantifying disease severity of cystic fibrosis using linear quantile mixed models
R reconstruction of global precipitation, error analysis and El Niño interpretation
Random forest to estimate individualized treatment regimes with ordered treatment levels in quasi-experimental student success studies
Reconstruction And Analysis Of The Global Precipitation Between 1850-2012
SEIRscape, an agent-based mosquito-human virus transmission framework, and the vector basis of dengue risk across Peru and Thailand

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