Many to one comparisons in a longitudinal binary data setup

Motivated by an example we discuss the problem of comparison to control in a scenario where we have repeated binary data from a large number independent individuals under each comparison group. We use the generalized quasi-likelihood (GQL) estimators for the comparison group effects including the ef...

Full description

Saved in:
Bibliographic Details
Published in:Sankhyā. Series B (2008) 2012-11, Vol.74 (2), p.268-285
Main Authors: Dasgupta, Nairanjana, Yang, Limin, Sutradhar, Brajendra
Format: Article
Language:English
Subjects:
Autocorrelation
Binary data
Comparative analysis
Correlations
Covariance matrices
Critical values
Estimation methods
Estimators
Fruits
Mathematics and Statistics
Null hypothesis
Sample size
Simulation
Statistics
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Motivated by an example we discuss the problem of comparison to control in a scenario where we have repeated binary data from a large number independent individuals under each comparison group. We use the generalized quasi-likelihood (GQL) estimators for the comparison group effects including the effect of the control group to define a single step and step-down method for performing many-to-one comparisons. We discuss the asymptotic properties of our method and provide ways of computing the critical values. We follow up with simulations for Type I error and marginal power and show that our proposed method performs well in practice.
ISSN:0976-8386
0976-8394
DOI:10.1007/s13571-012-0049-9