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CHeT Analytics

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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.

  • Access to clinical trial and observational study data from over 100 studies
  • Extensive Knowledge in developing clinical disease progression models of neurological disorders


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Data Modeling and Simulation

We can utilize our expertise in statistical methodology and machine learning to provide analytical modeling, consulting and support to:

- Develop clinical disease progression models that predict meaningful clinical outcomes to patients, caregivers, and researchers

- Develop strategies to reduce drug development costs through efficient clinical trial designs

- Visualize complex data to identify patterns and drive strategic analysis

- Harmonize distinct sources of data to increase sample size and generate more robust findings


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

Biostatistical Services

Provide Biostatistical Support for New Studies

Knowledgeable in study processes from the planning phase to presentation of results (includes clinical trials, other interventional studies, and observational studies).

  • Contribute to protocol development
  • Develop a statistical analysis plan
  • Provide Data Safety Monitoring Board support (i.e. unblinded statistician)
  • Perform statistical analyses
  • Promote standardized data collection based on CDISC standards
  • Contribute to preparation of manuscripts

Provide Consulting

To assess relevant existing studies to answer research questions

  • Develop and evaluate new outcome measures to quantify disease progression (e.g. composite scores)
  • Utilize lab data and biospecimens to identify potential biomarkers to quantify disease progression
  • Provide replication of analyses in independent studies as well as new exploratory analyses on existing study data

Frequently Asked Questions

Dr. Charles Venuto (Pharm.D.) is a clinical pharmacologist with expertise in modeling and simulation of drug pharmacokinetics and pharmacodynamics, and disease progression. He founded and leads CHeT Analytics, with the mission to model, predict, and act on data for designing more efficient clinical trials. His research interests are focused on studying the disease progression of neurodegenerative diseases and chronic infectious diseases, and identifying factors underlying disease progression and treatment response heterogeneity.

Peggy Auinger, (M.S.) is a statistician with expertise in statistical and methodological aspects of clinical research. She works with many of the 100+ clinical trials and observational studies that CHeT Analytics manages and is very proficient with the databases. She also serves as the statistician on active studies, writing and reviewing the study protocol and the statistical analysis plan; performing statistical analyses; and working with the Safety Monitoring Committee. She is meticulous in study development, execution, and analysis, working to ensure rigor in study design, conduct, and presentation of results.
We would be happy to set up a time to talk. Please contact our team at CHeT-Analytics@chet.rochester.edu