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Multivariate logistic regression and poissonregression analysis were performed to examine factors associated with unintentional injuries and repeated injuries respectively.
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The relationship between PPI and microbiological outcomes was assessed by logistic and poissonregression analysis for binary and count data.
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Poissonregression was used to estimate percent changes in rates over time.
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Modified Poissonregression was used to determine factors associated with HIV infection.
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We used Poissonregression to model this relationship, adjusting for potential confounders.
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Poissonregression was used to model the frequency of incidents of fall.
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Predictive factors for self-assessedrecovery were examined using a Poissonregression approach.
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Poissonregression models, adjusted for sociodemographic factors and alcohol consumption, were employed.
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We estimated pooled annualized ICH and ischemic stroke rates from Poissonregression.
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Analyses were performed through Poissonregression models with distributed lag non-linear models.
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Incidence and risk factors of intimate partner violence were estimated by PoissonRegression.
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Results: The Poissonregression model did not fit the data well.
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A Poissonregression model was used to measure associations controlling for potential confounders.
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Association between HCoV incidence and potential risk factors was modeled using Poissonregression.
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Design: Annual rates of consumption of psychostimulants were compared using Poissonregression models.
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The risk of SSI for each category was determined using multivariable Poissonregression.