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All the independent variables entered in the log binomial regression analysis were significantly associated with the dependent variable (managing occupational exposure to HIV) at bivariate analysis.
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Multivariate binomial regression analysis was performed to identify factors associated with 30-day reoperation and 90-day readmission after surgery for lumbar degenerative disease.
A binomial regression analysis was run to test the effect of rizatriptan 10 mg versus placebo, and the therapeutic gain (defined as the change in outcome induced by rizatriptan 10 mg minus the placebo effect) with its relative 95%% confidence interval (CI), was estimated for all outcome measures.
Binomial regression analysis was performed across the entire study group.
A negative binomial regression analysis was used to determine longitudinal usage trends and compare prevalence rates across years, sex and age groups.
Individual level bivariate negative binomial regression analysis was performed to explore the associations between clinical malaria episodes and age and sex.
A negative binomial regression analysis was used to investigate trends and compare rates across years, sex and age groups (0 4, 5 11, 12 15 years).
Log binomial regression analysis was used to calculate relative risks (chance) on compliance, stratified by medical specialty, calendar time and participation period.
Baseline characteristics and laboratory test results were described and the binomial regression analysis was conducted to investigate the relationship between insulin resistance and coronary atherosclerotic plaque progression.
Negative binomial regression analysis was employed to determine what municipality characteristics had an influence on the number of physicians per municipality, in other words, what factors were statistically significant in doctors' residence decisions.
Negative binomial regression analysis was used to calculate the rate ratio for admissions and bed days by social class in four groups (I and II, III non-manual (IIINM), III manual (IIIM), IV and V), using STATA V.10.
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