OUR TEAM
VALOS’ statisticians
Headquartered in Genoa
We are Italy’s foremost organization in the field of biostatistics and statistical programming services for Phase I to IV Clinical Trials for drug and device development studies.
With professional interests concentrated on offering operational excellence with our services to the Pharmaceutical industry. Our areas of focus lie in providing high quality research to bolster our clients’ clinical trials and turning them into resounding successes.
Pharmaceutical, Biotech and Device Companies
Valos works closely with small and mid-sized pharmaceutical and biotech companies.
We work within a highly regulated pharmaceutical environment and manages their entire biostatistics part of clinical trial processes with a hands-on approach, concurrently making its expertise available to some of the world’s biggest pharmaceutical corporations each time the opportunity arises.
Our Strengths
Our many strengths include: providing clinical data with utmost accuracy, always delivering within the specified timelines, services tailored to suit specific budgets, having a customer-centric approach, enforcing an independent quality control process and enabling our staff to undergo comprehensive training and development within the ever changing environment.
Led by pragmatic mathematician
Dr. Dmitri Petratchenko, Professor at the University of Genoa teaching SAS programming, a PHUSE member since 2007 and with over 20 years of experience as a Senior Statistical Programmer and Clinical SAS programmer.
Valos’s experienced clinical research professionals comprising statisticians with doctoral pedigree and seasoned SAS statistical programmers overseeing everything from inception to quality assurance post-trial.
Experience in statistical analysis modeling
Clinical Data Interchange Standards Consortium (CDISC).
Valos’ extensive experience in statistical analysis modeling and training within the industry in 21 CFR Part 11 or GCP and our proven record of meeting industry standards laid out by the Clinical Data Interchange Standards Consortium (CDISC), helps clients achieve optimal quality in their clinical trials and ensure on-time project completion and excellent quality work.
Our Statistical Analysis Plans
Have drawn praise from our clientele spread across various parts of Europe and the United States of America.
Our statistical analysis plans comprising different methodologies such asMMRM, multiple imputation, multiple testing strategies and multiple failure time models, have drawn praise from our clientele spread across various parts of Europe and the United States of America for their efficacy and ability to influence positive outcome.
