A5100680701- Statistical Methods in Clinical Trials
- Health Systems, Economic Evaluations, Quality of Life
- Gene Regulatory Network Analysis
- Advanced Causal Inference Techniques
- Cancer Genomics and Diagnostics
- Advanced biosensing and bioanalysis techniques
- Statistical Methods and Bayesian Inference
- Defense, Military, and Policy Studies
- Biosensors and Analytical Detection
- Electrochemical Analysis and Applications
- Time Series Analysis and Forecasting
- Statistical Methods and Inference
- Advanced Database Systems and Queries
- Artificial Intelligence Applications
- Artificial Intelligence in Law
- Computational Drug Discovery Methods
- Advanced Topology and Set Theory
- Biosimilars and Bioanalytical Methods
- Homotopy and Cohomology in Algebraic Topology
- Rings, Modules, and Algebras
- Statistical and Computational Modeling
- Optimal Experimental Design Methods
- Smart Systems and Machine Learning
- Data Quality and Management
Amgen (United States)
2023-2024
Tongji University
2023
Pfizer (United States)
2023
Huaqiao University
2018-2023
Chongqing Medical University
2023
Central South University
2023
First Affiliated Hospital of GuangXi Medical University
2023
Peking Union Medical College Hospital
2023
Guangdong Academy of Agricultural Sciences
2023
National Research Council Canada
2023
At present, artificial intelligence has developed rapidly and been increasingly used in teaching, which brought about earth-shaking changes the education of various subjects. To further promote intelligent development college online courses, this paper studies mathematical mo dels algorithms learning management system based on knowledge forgetting curve. Through analysis current situation modeling application "knowledge curve," method fuzzy differential is used, model algorithm design a new...
ABSTRACT It is becoming increasingly popular to elicit informative priors on the basis of historical data. Popular existing priors, including power prior, commensurate and robust meta-analytic predictive provide blanket discounting. Thus, if only a subset participants in data are exchangeable with current data, these may not be appropriate. In order combat this issue, propensity score approaches have been proposed. However, concerned covariate distribution, whereas exchangeability typically...
ABSTRACT The discussions of our paper provide insights into the practical considerations latent exchangeability prior while also highlighting further extensions. In this rejoinder, we briefly summarize and comments.
In immuno-oncology, developing combination therapies to overcome resistance single agent or induce synergistic effects has become a new focus. To accelerate the screening process identify promising combinations based on objective response rates, we propose Bayesian adaptive Umbrella Trial design simultaneously evaluate of an investigational compound with different backbones, where information borrowing across is allowed increase trial efficiency. A robust approach developed strike balance...
Abstract With the option for second-guessing, a group sequential design can be found to match any given data. The key question is, What could we learn from this? Could claim that second-guess should have been used instead of nonsequential design? further is superior other alternative designs? I propose criterion and procedure assess credibility such claim. recommend limiting those with high credibility. Numerical illustrations are provided.