Experiment design and analysis is an interesting career avenue for the aspiring statistician/programmer. If you can construct a sound hypothesis test, then you can simultaneously help people and earn cash. Experiments can be complex and costly. If a research institution staff can save money by stopping a test when the results are relatively obvious, it is a good thing for that institution. It may also mean that an effective experimental treatment will be made widely available sooner. You can help facilitate that by building the skill to determine if an “early stop” is the smart move in a research study. There are a few methods to master that can provide that information and one of them is O’Brien-Fleming boundary determination.
I know very little about NFP corporate donor/support, but here???s a few things I???ve learned
In parallel with my long-term product-enginering-operations leadership career and the considerable time I spent as a management consultant, I’ve had the opportunity to contribute…