Overview
Endpoint Preclinical’s biostatistics services provide precise, tailored statistical analysis across a range of preclinical models. Whether analyzing individual datasets such as ECG, echocardiography, or ventricular pressure-volume (PV) loops, or integrating multimodal data, we deliver insights that advance both exploratory and regulatory-driven research.
With expertise in cardiovascular, pulmonary, and neurological studies, we offer robust analysis to support your study’s goals.
Why Endpoint?
We offer flexible biostatistics services that meet the unique needs of preclinical research, allowing you to analyze individual data streams or integrate complementary datasets for a more comprehensive view. Using advanced statistical tools such as SAS and Prism, we provide a range of analysis options, from basic descriptive statistics to advanced multivariate analysis, regression modeling, and much more. Whether your study focuses on safety pharmacology, toxicology, or efficacy, we ensure that every analysis adheres to scientific and regulatory standards, strengthening your study’s outcomes.
Applications
Our Biostatistics services are applied across a variety of preclinical research areas:
- ECG Analysis: Statistical interpretation of electrical function, including PR, QRS, QT, and QTc intervals, heart rate variability, and arrhythmia detection.
- Respiratory Analysis: Integrated ECG and respiratory monitoring for comprehensive physiological assessments.
- Echocardiography: Advanced analysis of ventricular function, valve performance, and flow dynamics.
- Ventricular Pressure-Volume Loops: Statistical analysis of cardiac function, providing detailed insights into load-dependent and load-independent measures.
- Safety & Toxicology Studies: Supporting GLP-compliant analysis of ECG, hemodynamic, and respiratory data for toxicology assessments.
- MRI (Cardiac, Neuro, MSK): Statistical support for the interpretation of MRI data in cardiovascular, neurological, and musculoskeletal studies.
- Multimodal Biostatistics: Integration of datasets such as ECG, PV loops, and echocardiography for comprehensive, cross-functional analysis of physiological outcomes.