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The Cox proportional hazards model was used in a multiple variable model to assess the risk of dislocation in association with femoral head diameter, with adjustment for sex, age, diagnosis, and type of prosthesis (SPSS, Chicago, IL, USA).
A multiple variable model adjusting for covariates estimated prevalence ratios (PR) of having good to excellent SRDH and included an interaction term for insurance and household income group.
Most of them were still significant even after considering the ER status and node status using the multiple variable model (Table 3).
In the multiple variable model, the demographic factors of gender, age, marital status and level of education, as well as status of disease were considered as potential confounders.
The HR for death in the ITH group relative to the NTH group in a multiple variable model that included CCI, age, sex, and admission to the ICU as covariates was 0.34 (95% CI 0.25 0.47, P < 0.0001) (Table 3).
Similar(55)
Single and multiple variable models used combinations of χ2 tests and logistic regression techniques that treated AOF as dependent variable.
We also fitted proportional subdistribution hazards regression models of the final multiple variable models for time to IBTR and DSS.
In the secondary analyses, adjustment for treatment frequency in the multiple variable models only affected the model of GPE.
A range of multiple variable models was constructed using the estimation dataset with a combination of these variables depending upon their importance based on adjusted R2 values.
Because of the relationships among weather conditions, a forward stepwise variable selection procedure involving the Akaike information criterion was used to select the multiple variable models.
To establish whether differences in language groups influence QoL scores, both univariate and multiple variable models were used to examine unadjusted and adjusted effects on QoL.
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