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09/08/2023
Commentary on Guyll et al. (2023): Misuse of Statistical Method Results in Highly Biased Interpretation of Forensic Evidence
Since the National Academy of Sciences released their report outlining p...
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08/01/2022
Using Targeted Maximum Likelihood Estimation to Estimate Treatment Effect with Longitudinal Continuous or Binary Data: A Systematic Evaluation of 28 Diabetes Clinical Trials
The primary analysis of clinical trials in diabetes therapeutic area oft...
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01/30/2022
Combining Covariate Adjustment with Group Sequential and Information Adaptive Designs to Improve Randomized Trial Efficiency
In clinical trials, there is potential to improve precision and reduce t...
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09/09/2021
Optimizing Precision and Power by Machine Learning in Randomized Trials, with an Application to COVID-19
The rapid finding of effective therapeutics requires the efficient use o...
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11/30/2020
The Impact of Time Series Length and Discretization on Longitudinal Causal Estimation Methods
The use of observational time series data to assess the impact of multi-...
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02/22/2020
Reinforcement Learning Framework for Deep Brain Stimulation Study
Malfunctioning neurons in the brain sometimes operate synchronously, rep...
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10/30/2019
Model-Robust Inference for Clinical Trials that Improve Precision by Stratified Randomization and Adjustment for Additional Baseline Variables
We focus on estimating the average treatment effect in clinical trials t...
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10/13/2019
