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The natural logarithm of real annual earnings is used in multivariate models.
Finally, when alternative categorization of covariates was used in multivariate models the results were virtually identical to those reported here (not shown).
Logistic regression was used in multivariate models to explore different variables' impact on the MSI-status and the number of examined lymph nodes.
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These data are typically then used in multivariate prediction models that incorporate other canonical risk factors such as the tumor size, lymph node involvement, and patient demographic parameters, among others.
These were then used in multivariate logistic regression models to identify significant predictors of outcomes at a p-value of < 0.05 or those that changed the effect estimate by more than 10%.
These cutoffs were used in multivariate logistic regression modeling for mortality prediction.
Propensity score analysis required calculation of the conditional probabilities for the two treatment groups (adjuvant CRT vs. surgery alone) using multivariate regression, generating a propensity score, which was used in multivariate Cox regression model.
This result is consistent with other studies that included crack use in multivariate models [ 33, 34].
Finally, when TFR was incorporated instead of contraceptive use in multivariate models, an inverse independent association of TFR with MMR (β=−14.329; p=0.002) and MMRAO (β=−1.750 p=0.0088), and a direct association with iAMR (β=1.383; p=0.003) was found.
Although space does not permit a detailed explanation, Figure 1 illustrates the model used in multivariate genetic analyses.
The Cox proportional hazard model was used in multivariate analysis.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com