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Multivariable analyses were performed using a two-sided Cox proportional hazards model with enter procedure of all risk predictors considered (Table 2).
Then, multivariate analyses were conducted on all potential factors with P-value <0.2 in univariate analysis using a stepwise Cox model with enter variable with P-value <0.05 and remove if P-value >0.1.
The multivariate logistic regression model with Enter method was used to assess the joint effect of determinants related to perceived low numbers of patients.
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Thus, the Hosmer Lemeshow goodness-of-fit and Omnibus tests of model coefficients with enter procedure were used to test for the model fitness.
The age, sex, family size, place of residence, educational status, employment status, treatment category, HIV status and distance from treatment centers of PTB patients were subjected to multivariate analysis and the final model was determined with enter method.
Multivariable analysis was performed using a Cox proportional hazards model with an enter procedure.
World Health Organization (WHO) Anthro software was used to convert nutritional data indices from anthropometric measurement into Z-scores, and Multivariate logistic regression model with an enter method was used to determine the predictors of under nutrition.
Some traditional prognostic factors, such as tumor size, lymph node involvement, stage, HR status, Her-2 status, lymphvascular invasion (LVI), and Ki-67 proliferation index were included in the multivariate analysis with enter model.
A mixed-effects model with Task entered as fixed factor and Subject entered as Random factor revealed a significant effect of the red dot task.
We tested whether a trend existed in the performance curves by adjusting a linear model with experience entered both as a linear and a quadratic term.
However, when we re-fit the model with subtypes entered as individual binary variables, we found that the LumA subtype was added as a statistically significant predictor, along with ER status, P and M/D metagenes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com