Comprehensive Data Analytics
PCDA provides comprehensive data analytics and visualization service of preclinical and clinical studies. Get more value from your studies!
Drug Development is a notable area where data analytics and data science can make a significant impact and accelerate the process. The Comprehensive Data Analytics can help a deeper understanding of disease etiology, support target validation, optimize drug efficacy and predict clinical success
Data analytics of preclinical studies
Whether it is a simple statistical analysis or a complex predictive modelling PCDA provides tailored solutions to meet your needs. PCDA support the study design with sample size / power calculation and Design of Experiments (DoE) to optimize the experimental conditions and understand the relationship between multiple input variables on key output variables or responses. Along with dose-response or survival analysis, statistical or predictive modelling PCDA provides superior high quality data visualization for publications or BD-related activities.
Data analytics of clinical trials
Usually after completion of a clinical trial only basic data analysis is provided in Clinical Study Report. Whether it is a deep analysis of adverse events or response domain visualization, PCDA provides tailored analysis of databases stored in CDISC SDTM format. Impress your business partners with Venn, swimmer, spider or waterfall diagrams. PCDA also generates automated patient profiles and patient narratives for review and submission to regulatory agencies.