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| 1.44 MB | Adobe PDF |
Advisor(s)
Abstract(s)
When applying analysis of variance, the sample sizes may not be
previously known, so it is more appropriate to consider them as
realizations of random variables. A motivating example is the collection
of observations during a fixed time span in a study comparing,
for example, several pathologies of patients arriving at a hospital.
This paper extends the theory of analysis of variance to those situations
considering mixed effects models. We will assume that the
occurrences of observations correspond to a counting process and
the sample dimensions have Poisson distribution. The proposed
approach is applied to a study of cancer patients.
Description
Keywords
Random sample sizes Mixedeffects L extensions models F-tests Counting processes Cancer registries