CHAPTER 12
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Population-averaged models for nonnormal repeated measurements
12.1
Introduction
In the previous chapter, we discussed regression models for data that may not be normally distributed, such as count or binary data or data
CHAPTER 11
ST 732, M. DAVIDIAN
11
Generalized linear models for nonnormal response
11.1
Introduction
So far, in our study of regression-type models for longitudinal data, we have focused on situations where
The response is continuous and reasonably assum
CHAPTER 9
ST 732, M. DAVIDIAN
9
Random coecient models for multivariate normal data
9.1
Introduction
In the last chapter, we noted that an alternative perspective on explicit modeling of longitudinal response is to think directly of the fact that each uni
CHAPTER 13
ST 732, M. DAVIDIAN
13
Advanced topics
13.1
Introduction
In this chapter, we conclude with brief overviews of several advanced topics. Each of these topics could realistically be the subject of an entire course!
13.2
Generalized linear mixed mo
CHAPTER 3
ST 732, M. DAVIDIAN
3
Random vectors and multivariate normal distribution
As we saw in Chapter 1, a natural way to think about repeated measurement data is as a series of random vectors, one vector corresponding to each unit. Because the way in
CHAPTER 7
ST 732, M. DAVIDIAN
7
Drawbacks and limitations of classical methods
7.1
Introduction
It is worth noting that both the univariate and multivariate classical methods we have discussed so far may be extended to more complicated situations. For exa
CHAPTER 2
ST 732, M. DAVIDIAN
2
2.1
Review of matrix algebra
Introduction
Before we begin our discussion of the statistical models and methods, we review elements of matrix algebra that will be quite useful in streamlining our presentation and representin