3.2. Logistic Models for Dichotomous Data with Two Observations Per Person
We begin with the relatively simple situation in which the response variable is a dichotomy and there are exactly two observations for each individual. As in chapter 2, we let yit be the value of the response variable for individual i on occasion t, but now y is constrained to have a value of either 0 or 1. In this section, t = 1 or 2. Let pit be the probability that yit= 1. It is convenient to assume that the dependence of pit on possible predictor variables is described by a logistic regression model
where zi is a column vector of variables that describe the individuals ...
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