February 2007
Beginner to intermediate
464 pages
16h
English
book
Pharmaceutical Statistics Using SAS
by Ph. D. Alex Dmitrienko, Ph. D. Christy Chuang-Stein, Sr. Ralph B. D'Agostino
Content preview from Pharmaceutical Statistics Using SAS
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10.10. Summary
In writing a single chapter on sample-size analysis, one can either strive for breadth or depth. We opted to cover two examples in depth, and thus we failed to even mention any of the vast array of other tools now available to help investigators carefully assess and justify their choices for sample sizes across the statistical landscape. What have we not discussed? The list of topics and references is too long to begin and would soon be outdated anyway.
What readers need to understand is that if they have a sample-size analysis issue, there may be good methodological articles and strategies that address it. If no such help can be found, then Monte Carlo simulation can provide results that are entirely satisfactory. In fact, some ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.