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The effect of remote ischaemic conditioning on CIN will be evaluated using logistic regression.
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Differences in insulin use and other infant outcomes between treatment groups were evaluated using logistic regression.
Case control study populations were drawn from the simulated cohorts and the association between the disease allele and infection status was evaluated using logistic regression for binary outcomes and polytomous regression for multinomial outcomes.
Habitat and distance variables were evaluated using logistic regression modelling.
Genotypic association with PCOS status was evaluated using logistic regression, adjusting for recruitment site, BMI and age.
Associations of level and status changes with clinical phenotypes were evaluated using logistic regression models and adjustments for total follow-up time were done.
In the case-control cohort, genotypic association with PCOS status was evaluated using logistic regression, adjusting for recruitment site, BMI and age.
Class-associated factors were evaluated using logistic regression analysis.
Finally, POAG risk factors were evaluated using logistic regression analysis.
The relationship of metformin use with PCa risk was evaluated using logistic regression.
Trying smoking and daily cigarette use trends over time were evaluated using logistic regression analyses.
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