Stats-consult is a project created by Eduard Parsadanyan, seasoned Statistical programmer & Biostatistician.
On this site, you can find several useful demo tools for planning and analysis of Clinical Trials. Posts about statistical analysis and SAS / R tips & techniques are updated regularly. Sometimes you can also find Pharma industry related posts. Of course, you are welcome to invite Eduard into your project as a contractor to help your team with SAS / R programming and activities in biostatistics.
Eduard Parsadanyan has 7+ years of experience in Statistical programming & biostatistical consulting for various international CROs and local Pharma companies in Russia. His MSc degree life sciences gave a boost in early career and helped to obtain a deep understanding of the clinical trial industry. Eduard started as Statistical Programmer and worked with CDISC compliant data using SAS 9.x software. He has various experience in both SDTM and ADaM domains, as well as TFL programming with a particular interest in SAS/Graph.
As a Biostatistician Eduard works with R 3.x programming language and has already helped several local Russian clients to calculate sample size for different study designs, write Statistical Analysis Plans, perform efficacy and safety analysis, prepare statistical reports for regulatory submissions.
Eduard regularly updates his knowledge and has passed multiple training programs in Biostatistics, Data Management, Drug discovery & development and many others. His broad knowledge allows him to effectively dismantle silos within a Clinical trial, train junior staff and act as an effective point of contact for programming and biostatistical activities.
Expertise at a glance
Statistical software used
Study phases and design
- Bioequivalence (over 20 PK analyses performed)
- Phase I to IV (international an local studies)
- Non-inferiority, superiority trials
- Survival analysis
- Adaptive design (e.g. seamless phase II-III)
- SDTM, ADaM
- Sample size, SAP
- eCRF, EDC
- Python, VBA
- …and more!