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Using the univariate logistic model, factors with a significant relative risk value, p = 0.05, were identified (Table 4).
In the multivariate model, factors with p < 0.200 in the univariate analysis and important factors in the previous literature (4,8-11,14) were taken as covariates.
In the multivariate model, factors with p < 0.200 on univariate analysis and factors derived from the previous literature were considered covariates.
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Six-month sampling is appropriate to model factors associated with type-specific oral HPV infection persistence but may misclassify HPV-exposed individuals as unexposed.
A six-month sampling interval therefore appears appropriate for natural history studies of oral HPV infection that model factors associated with type-specific persistence.
We forced in the model factors associated with RLS in previous studies (age, eGFR, ferritin levels and diabetes).
In the multivariate model, factors associated with consulting a GP were mobility problems (OR 2.62 (1.64-4.17)), urban living (OR 2.40 (1.14-5.04) and pain severity (1.28 (1.28-1.28)).
Multivariate logistic regression was then used to model factors associated with past year IPV, separately for 'prior to relationship' characteristics, and 'current situation' variables.
In the multiple regression model, factors associated with levels of Cys-LTs were passive smoking (β = 13.1, p 0.04) and to be asthmatic (β = 11.5, p 0.03).
Each potential predictor was firstly examined in a univariate model and factors with a predetermined level of significance (p<0.1) were then entered into a multivariate model.
In multivariable logistic regression models, factors associated with seropositivity in univariate analysis (p<0.10) or hypothesized to be exposure risk factors were included.
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