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Exact(9)
Variables with a p value < 0.15 in these tests were used for multivariate model building.
In addition, variables found to be associated with the outcome in the univariate analysis (p<0.25) were included in the multivariate model building process and retained if supported by likelihood ratio testing.
Effect modification was explored as part of the multivariate model building process and did not yield any significant interactions.
While bivariate logistic regression is appropriate for multivariate model building, the Fisher's Exact test is mathematically most appropriate.
The objective of the multivariate model building was to evaluate the impact of each of the determinants.
Multivariate model building using the remaining 16 variables resulted in a final model that included eight variables (Table 3).
Similar(51)
Multivariate logistic model building based on the population of 5022 Caucasian women (1671 breast cancer cases and 3351 cancer-free controls) resulted in an optimized PFRM containing 22 SNPs (from 19 distinct genes), age at first live birth, number of first degree relatives with breast cancer, and previous biopsy number/outcome.
To test the association between HHS and HRQOL (EQ-5 D and PF) at 3 and 12-months follow-up we used Spearman's correlation and linear regression of the continuous variables together with multivariate regression by stepwise model building [ 27].
Univariate and multivariate ordinary least-squares regression by stepwise model building according to Hosmer and Lemenshow (2001) was performed in order to identify preoperative predictors of outcome at 1-year follow-up.
The multivariate model was built using an a priori model building strategy developed by Greenland and colleagues [ 11].
Our novel methodology opens plenty of new possibilities for testing how the conditional copula depends on the multivariate covariate and also for variable selection in copula model building.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com