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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12.6. Categorical Data
For non-Gaussian outcomes, there is no single, broadly applicable counterpart to the multivariate normal model, within which the linear mixed model is positioned. Therefore, it is important to carefully distinguish between three model families: marginal models, random-effects models, and conditional models. A comprehensive introduction of these and comparison between them has been provided in Dmitrienko et al. (2005, Chapter 5). Here, we provide a brief overview of the marginal family, with focus on generalized estimating equations (GEE), and put some emphasis on the random-effects family. In particular, we emphasize the generalized linear mixed model (GLMM).
12.6.1. Marginal Models
Marginal models describe the outcomes ...
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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.