CHeT Analytics
CHeT Analytics is developing strategies to reduce drug development costs and enhance clinical care for those living with neurological disorders. By leveraging one of the world’s largest repositories of clinical trial data for Parkinson’s and Huntington’s diseases, new insights are being made possible through predictive modeling and simulation.
The Analytics Unit is developing tools for patients, clinicians, and caregivers to interact with the prediction models to help manage their disease in a data-driven manner. We believe creating such tools empowers patients and allows the entire care team to proactively plan for future scenarios that are based on real patients’ data of similar profiles. We specialize in drug development rescue re-analysis. Our modeling and simulation methods are able to identify sub-populations of treatment responders and exposure-response relationships, if any such exist, through post-hoc analyses.
Ancillary Analytical Services
Understanding every trial has unique needs, CHeT maximizes effectiveness with experienced resources to deliver customized biostatistics and data mining efforts. Explore how our team has driven impactful results across various studies, offering advanced data solutions and insights for clinical research. Check out our Case Studies to learn more about our methods, achievements, and contributions to the field.
Analytical Services - Pharmacology
To provide pre-clinical and clinical pharmacology expertise to guide drug development
- Develop protocols for pre-clinical and clinical testing of small molecule compounds and protein-based therapeutics
- Conduct pharmacokinetics and pharmacodynamics modeling and simulation throughout all phases of drug development
- Analyze pharmacology data to understand patient factors influencing drug exposure and response
- Conduct drug-drug interaction studies and concomitant medication monitoring to ensure optimal safety of experimental therapeutics
Frequently Asked Questions
Peggy Auinger, (M.S.) is a seasoned expert in statistical methodology with extensive experience in complex sample surveys, bivariate analyses, and multivariate analyses. Her primary research interests include developing research projects and study design. Proficient in statistical and programming software such as SAS, SUDAAN, SPSS, Epi Info, Microsoft Fox Pro, and Microsoft Access, she has significant experience with national surveys like NHANES, NHIS, and MEPS.