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Associations between vaccination status and outcome were assessed through binomial regression (log link).
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A binomial regression model (complementary log-log model) revealed that supervision at 1 year was predicted by education and scores on the Trail Making Test Part B and digits backward.
The association between HHV-8 viremia and oral HHV-8 detection was assessed using GEE binomial regression with a log link.
Prevalence ratios and 95% confidence intervals were estimated by binomial regression with the log link function [ 19].
Prevalence ratios (PRs) and 95% confidence intervals (CIs) were estimated by binomial regression with the log link function [ 9- 11].
We estimated risk ratios using binomial regression with a log link; using either maximum qualified likelihood (Fisher scoring) or maximum likelihood, depending on convergence.
Comparisons across groups will utilize binomial regression with a log link function, will account for clustered allocation using GEE, and will adjust for imbalance as necessary.
First, we used a simple binomial regression with a log link function to examine bivariate associations between reports of police beating and the explanatory variables [ 27].
Risk factors satisfying a P-value criterion of P<0.20 in univariate log binomial regression models were included into a multivariate log binomial regression model.
First, an unadjusted log binomial regression model was performed by regressing the prevalence of metabolic syndrome on prior service.
The dose-response relation was examined using log binomial regression or Poisson regression models.
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