One large pharma’s decision earlier this year to eliminate 204 data operations jobs here in the US seemed a bit extreme even when considering the profit motive behind their decision. It really didn’t seem to be a good decision for them to place all their eggs in one basket. It also seemed unfortunate to lay off personnel that had probably been there for many years who carried out their work well.
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.