Synopsis of recent research by authors named "Chang-Xing Ma"
- Chang-Xing Ma's research primarily focuses on advanced statistical methods for analyzing correlated biomedical data, particularly in fields like ophthalmology, emergency medicine, and gastrointestinal health. His work emphasizes the importance of accurately estimating confidence intervals and relative risks for data that involve paired observations.
- Recent studies include the development of simultaneous confidence intervals for proportion ratios of correlated data in both unilateral and bilateral settings, as well as a protocol for fixed-dose ketamine administration in managing hyperactive delirium, highlighting practical applications and implications for emergency medical practices.
- Ma's findings reveal significant national variations in emergency medical services (EMS) responses and medication administration for pediatric seizures, as well as the necessity for new statistical approaches to account for intraclass correlations in clinical trial data, which can lead to improved clinical outcomes and better-informed treatment protocols.
