Exact logistic models for nested binary data.

Abstract:

:The use of logistic models for independent binary data has relied first on asymptotic theory and later on exact distributions for small samples. However, the use of logistic models for dependent analysis based on exact analysis is not as common. Moreover, attention is usually given to one-stage clustering. In this paper, we extend the exact techniques to address hypothesis testing (estimation is not addressed) for data with second-stage and probably higher levels of clustering. The methods are demonstrated through a somewhat generic example using C+ + program.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Troxler S,Lalonde T,Wilson JR

doi

10.1002/sim.4157

subject

Has Abstract

pub_date

2011-04-15 00:00:00

pages

866-76

issue

8

eissn

0277-6715

issn

1097-0258

journal_volume

30

pub_type

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