64 citations
- University of MichiganUS5 papers
- Eli Lilly (United States)US3 papers
- AbbVie (Japan)1 paper
- Amgen (United States)US1 paper
- Berkeley CollegeUS1 paper
- Boston UniversityUS1 paper
- Bristol-Myers Squibb (United States)US1 paper
- CSL (Switzerland)CH1 paper
- CSL (United States)US1 paper
- Day Kimball HealthcareUS1 paper
- Eli Lilly (Canada)CA1 paper
- Eli Lilly (Singapore)SG1 paper
16 papers
Explainable Machine Learning in Healthcare: Methods, Interpretation, and Applications for Clinical Research
Krishna Padmanabhan, Minxin Lu, Dai Feng +4
We present a structured review of commonly used Explainable machine learning (XML) methodologies, including global and local interpretability tools such as SHapley Additive exPlana…
A Class of Computational Methods to Reduce Selection Bias when Designing Phase 3 Clinical Trials
Tianyu Zhan
When designing confirmatory Phase 3 studies, one usually evaluates one or more efficacious and safe treatment option(s) based on data from previous studies. However, several retros…
Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence
Yixin Fang, Pallavi Mishra-Kalyani, Xiang Zhang +8
The American Statistical Association Biopharmaceutical Section (ASA BIOP) scientific working group on real-world evidence (RWE) has been making continuous, extended efforts towards…
Terahertz Dynamics in the Glycerol-Water System
Johanna Kölbel, Walter Schirmacher, Evgenyi Shalaev +1
The model glass-former glycerol and its aqueous mixtures were investigated with terahertz-time domain spectroscopy (THz-TDS) in the frequency range of 0.3--3.0\,THz at temperatures…
Deep Neural Networks Guided Ensemble Learning for Point Estimation
Tianyu Zhan, Haoda Fu, Jian Kang
In modern statistics, interests shift from pursuing the uniformly minimum variance unbiased estimator to reducing mean squared error (MSE) or residual squared error. Shrinkage base…
Biomedical Knowledge Graph Refinement and Completion using Graph Representation Learning and Top-K Similarity Measure
Islam Akef Ebeid, Majdi Hassan, Tingyi Wanyan +3
Knowledge Graphs have been one of the fundamental methods for integrating heterogeneous data sources. Integrating heterogeneous data sources is crucial, especially in the biomedica…