On Comparing Intensities of Association between Two Binary Characteristics in Two Different Populations
作者:
Agnes Berger,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1961)
卷期:
Volume 56,
issue 296
页码: 889-908
ISSN:0162-1459
年代: 1961
DOI:10.1080/01621459.1961.10482133
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Asymptotically favorable methods for testing the equality of certain measures of association in different four-fold tables are deduced from the general theory of χ2-tests as given by Neyman and generalized by Anderson, Goodman and Gold. The tests turn out to be also obtainable by an intuitive use of maximum likelihood estimates as suggested by Wald's large sample theory and include one proposed by Lancaster for testing the second order interaction in a complex contingency table. Applications in the field of drug research and health surveys are indicated.
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