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The probabilities of being in either of the two states at baseline can be estimated using ordinary logistic regression.
Where zero cell counts rendered odds ratios inestimable using ordinary logistic regression, we used exact logistic regression.
The effect of variables with the same value in each sibship was analyzed using ordinary logistic regression.
Analyses of bronchopulmonary dysplasia using ordinary logistic regression, GLMM, and GEE and separated by birth weight group are shown in Table 4.
Parameters were first estimated by using ordinary logistic regression, ignoring correlations between different hospitalization periods for a single patient (under "working independence").
As is well known, valid inference can be obtained from case-control study data using ordinary logistic regression and treating Y as the outcome [ 22].
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To evaluate associations between variables, we used ordinary logistic regression and exact logistic regression as appropriate.
It is not suitable to directly use ordinary logistic regression to explore the exposure-response relationship of HIV as an infectious disease.
For this purpose we used ordinary logistic regression stratified by receiving country to obtain within-country estimates and a two-level model with deliveries nested within receiving countries to obtain a pooled estimate across countries.
ORs and their correspondent CIs were also estimated using an ordinary logistic regression.
Data were analysed using both ordinary logistic regression, with fixed intercepts to adjust for study, and mixed effects logistic regression, with random intercepts and exposure effect coefficients for study.
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