TEST FOR TREATMENT EFFECT BASED ON BINARY DATA WITH RANDOM SAMPLE SIZES

Published

Journal Article

The problem of testing for treatment effect based on binary response data is considered, assuming that the sample size for each experimental unit and treatment combination is random. It is assumed that the sample size follows a distribution that belongs to a parametric family. The uniformly most powerful unbiased tests, which are equivalent to the likelihood ratio tests, are obtained when the probability of the sample size being zero is positive. For the situation where the sample sizes are always positive, the likelihood ratio tests are derived. These test procedures, which are unconditional on the random sample sizes, are useful even when the random sample sizes are not observed. Some examples are presented as illustration. Copyright © 1990, Wiley Blackwell. All rights reserved

Full Text

Duke Authors

Cited Authors

  • Shao, J; Chow, S

Published Date

  • January 1, 1990

Published In

Volume / Issue

  • 32 / 1

Start / End Page

  • 53 - 70

Electronic International Standard Serial Number (EISSN)

  • 1467-842X

International Standard Serial Number (ISSN)

  • 0004-9581

Digital Object Identifier (DOI)

  • 10.1111/j.1467-842X.1990.tb00999.x

Citation Source

  • Scopus