Many to one comparisons in a longitudinal binary data setup

被引：1

作者：

Nairanjana Dasgupta

Limin Yang

Brajendra Sutradhar

机构：

[1] Department of Statistics, Washington State University, Pullman, 99164, WA

[2] Department of Mathematics and Statistics, Memorial University of NewFoundland, St. John’s

来源：

Sankhya B | 2012年 / 74卷 / 2期

关键词：

Generalized quasi-likelihood; comparison to control; multivariate normal; autocorrelation; single step; step down; Type I error; marginal power; Primary 62J12; Secondary 62F03;

D O I：

10.1007/s13571-012-0049-9

中图分类号：

学科分类号：

摘要：

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. © 2012, Indian Statistical Institute.

引用

页码：268 / 285

页数：17

共 18 条

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