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Multivariate binomial regression was used to model the probability of adverse outcomes with respect to the absolute number of antenatal visits, after controlling for potentially confounding factors.
Negative binomial regression was used to determine the factors associated with acute respiratory episodes.
METHODS: Negative binomial regression was used to assess payment rates; generalized estimated equations accounted for multiple observations per person and cost correlation within subjects.
Survival analyses were conducted with proportional hazards regression, while negative binomial regression was used to assess educational differences in ED usage and inpatient admissions.
Negative binomial regression was used for the primary analysis.Among 18,144 patients, there were 9,545 total PEP events (56% were first events and 44% subsequent events).
Negative binomial regression was used to calculate the average annual change in agricultural injury rates over time.
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Log-binomial regression was used to calculate crude and adjusted prevalence ratios.
Multivariate log-binomial regression was used to identify factors associated with reporting police beating.
Log-binomial regression was used to study the effect of SES and urbanisation on the VDG.
A generalized linear model with log-binomial regression was used to estimate adjusted risk ratio [ 28].
Log-binomial regression was used to estimate prevalence ratios (PR) for the hunters.
More suggestions(17)
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