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Table 2 presents the overall multidimensional logistic regression model identifying the strongest (as defined by the variable p value <0.10) predictors of not working 3 months after injury.
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In turn, in the multidimensional model of logistic regression, the only independent predicator of the TFI ≥5 turned out to be the occurrence of the HADS value >7 (odds ratio [OR] =4.84, 95% confidence interval [CI]: 1.91 12.22, P=0.001).
To generate covariates for logistic regression models, multidimensional scaling was used to quantify genetic distances between members of the case control cohort.
Unlike logistic regression, MFNN has the ability to model the multidimensional and nonlinear relationships between the variables as found in complex medical applications.
Logistic regression has been used to examine the association of multidimensional poverty, household environment and short-term morbidities.
We finally calculated the crude and adjusted ORs with associated 95% CIs using a logistic regression model to identify association between stigma, SMI and multidimensional poverty.
Following this, logistic regression models were utilised to look at the OR of being in multidimensional poverty for those with various chronic health conditions.
That's why you calculate your adjusted figures using cleverer methods, such as logistic regression, and likelihood theory.
Logistic° (multinomial logistic regression) [26].
Multinomial logistic regression.
Logistic regression algorithm.
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