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Unconditional Tests of Hypotheses Concerning Relative Risk
Author(s) -
Bennett B. M.
Publication year - 1984
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710260713
Subject(s) - statistics , mathematics , statistical hypothesis testing , covariate , matching (statistics) , econometrics
The problem of estimation of, and statistical tests for, the relative risk (=α) from samples in which there is matching on covariates have been discussed by various authors (Cox, 1970; MANTEL and HAENSZEL, 1959) using the approach of conditional variates. This paper discusses log LR (likelihood ratio) tests of hypotheses concerning α, as based on one or more sets of matched samples. Approximate X 2 tests are also developed for the hypotheses concerning α. An example is presented which illustrates the proposed tests of significance (Table 1).