1 citations · 1 across the 5 of their papers we have counts for
6 papers
Integrating RCTs, RWD, AI/ML and Statistics: Next-Generation Evidence Synthesis
Shu Yang, Margaret Gamalo, Haoda Fu
Randomized controlled trials (RCTs)have been the cornerstone of clinical evidence; however, their cost, duration, and restrictive eligibility criteria limit power and external vali…
Efficient Human-in-the-Loop Active Learning: A Novel Framework for Data Labeling in AI Systems
Yiran Huang, Jian-Feng Yang, Haoda Fu
Modern AI algorithms require labeled data. In real world, majority of data are unlabeled. Labeling the data are costly. this is particularly true for some areas requiring special s…
Recurrent Events Modeling Based on a Reflected Brownian Motion with Application to Hypoglycemia
Yingfa Xie, Haoda Fu, Yuan Huang +2
Patients with type 2 diabetes need to closely monitor blood sugar levels as their routine diabetes self-management. Although many treatment agents aim to tightly control blood suga…
Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule
Qi Xu, Xiaoke Cao, Geping Chen +3
Individualized treatment rules (ITRs) have been widely applied in many fields such as precision medicine and personalized marketing. Beyond the extensive studies on ITR for binary…
Optimal Individualized Treatment Rule for Combination Treatments Under Budget Constraints
Qi Xu, Haoda Fu, Annie Qu
The individualized treatment rule (ITR), which recommends an optimal treatment based on individual characteristics, has drawn considerable interest from many areas such as precisio…
Robust Estimation of the Weighted Average Treatment Effect for A Target Population
Yebin Tao, Haoda Fu
The weighted average treatment effect (WATE) is a causal measure for the comparison of interventions in a specific target population, which may be different from the population whe…