Pinned Repositories
Adaptive_Shiny
Shiny app for looking at the pros and cons of adaptive trial designs
AdaptiveDesignOptimizer
Optimizes Adaptive Enrichment Designs
AdaptiveDesignOptimizerSAS
SAS/IML Interface for Adaptive Design Optimizer
AdaptiveDesignOptimizerSparseLP
Two-Stage, Two Population, Adaptive Enrichment Design Optimizer Using Sparse Linear Programming
AdaptiveDesignStreamlinedOptimizer
AdaptiveEnrichmentUsingSparseLP
Two-Stage, Two Population, Adaptive Enrichment Design Optimizer Using Sparse Linear Programming
ANCOVA
Baltimore_Community_Course
Baltimore Community Data Science Course at JHSPH through partnership with SOURCE
COVID-19-RCT-STAT-TOOLS
Statistical methods for analyzing data from trials of COVID-19 treatments
Multi-arm-adaptive-enrichment-SMART-AV-device-application
Optimized Adaptive Enrichment Designs for Multi-Arm Trials: Learning which Subpopulations Benefit from Different Treatments, by Jon Arni Steingrimsson, Joshua Betz, Tianchen Qian, and Michael Rosenblum
mrosenblum's Repositories
mrosenblum/COVID-19-RCT-STAT-TOOLS
Statistical methods for analyzing data from trials of COVID-19 treatments
mrosenblum/AdaptiveDesignOptimizerSAS
SAS/IML Interface for Adaptive Design Optimizer
mrosenblum/AdaptiveDesignStreamlinedOptimizer
mrosenblum/Multi-arm-adaptive-enrichment-SMART-AV-device-application
Optimized Adaptive Enrichment Designs for Multi-Arm Trials: Learning which Subpopulations Benefit from Different Treatments, by Jon Arni Steingrimsson, Joshua Betz, Tianchen Qian, and Michael Rosenblum
mrosenblum/Adaptive_Shiny
Shiny app for looking at the pros and cons of adaptive trial designs
mrosenblum/AdaptiveDesignOptimizer
Optimizes Adaptive Enrichment Designs
mrosenblum/AdaptiveDesignOptimizerSparseLP
Two-Stage, Two Population, Adaptive Enrichment Design Optimizer Using Sparse Linear Programming
mrosenblum/AdaptiveEnrichmentUsingSparseLP
Two-Stage, Two Population, Adaptive Enrichment Design Optimizer Using Sparse Linear Programming
mrosenblum/ANCOVA
mrosenblum/Baltimore_Community_Course
Baltimore Community Data Science Course at JHSPH through partnership with SOURCE
mrosenblum/CovariateAdjustment
mrosenblum/interAdapt-Command-Line-Version
mrosenblum/RandomizedTrialEnhancedPrecisionEstimator
Implements Estimator for Randomized Trials with Multiple Visits per Participant using TMLE
mrosenblum/Robust_RCT_Single_Stage_Design
mrosenblum/survtmlerct
TMLE for survival outcomes with efficiency guarantees