Two programmers from leading service organizations to the Pharmaceutical/Biotech Industry share their experiences with the role of programmers with Risk-Based Monitoring for Clinical Studies.
Another busy month went by as we had a lot going on at DataCeutics. The biggest highlight for May was our trip down to Baltimore for PharmaSUG. PharmaSUG is the Pharmaceutical Industry SAS® Users Group, consisting of professionals worldwide in the pharmaceutical and healthcare industries who use SAS software in their work.
Multiple imputation (MI) is a technique for handling missing data. MI is becoming an increasingly popular method for sensitivity analyses in order to assess the impact of missing data. The statistical theory behind MI is a very intense and evolving field of research for statisticians. It is important, as statistical programmers, to understand the technique in order to collaborate with statisticians on the recommended MI method. Click here to view the full article.
The Clinical Data Interchange Standards Consortium (CDISC) encompasses a variety of standards for medical research. Amongst the several standards developed by the CDISC organization are standards for data collection (Clinical Data Acquisition Standard Harmonization - CDASH), data submission (Study Data Tabulation Model - SDTM) and data analysis (Analysis Data Model - ADaM)... Click here to view the full article.
In the movie, Good Will Hunting (1997), a mathematics professor challenges his students to draw all Homeomorphically Irreducible Trees of Order Ten, that is, a collection of trees each having ten dots connected by lines.... Click here to view the full article.