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A considerably smaller sample size in the postnatal Pb subsample made the multivariate assessments with PCBs and MeHg more challenging.
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Multivariate assessments were with Cox forward step-wise regressions, using the likelihood ratio criterion (~χ(1), p ≤ 0.05) as the test statistic to determine if a factor would be added to the model.
In multivariate assessments, image analysis nuclear features had significant prognostic associations (p ≤ 0.05) with the development of invasive breast cancer.
Fight experience was also examined as a continuous variable (number of fights) and remained significantly associated with reported injury in a multivariate assessment.
Multivariate assessment of microbial communities.
In the multivariate assessment, we used stratified Cox regression.
Once validated, mtDNA content could be incorporated with other available risk factors to construct a multivariate risk assessment model for identifying subjects with high risk of glioma.
Conduct your assessment with honesty.
Share the risk assessment with your employees.
Further studies can examine this possibility with multivariate models including assessment of various pollutants simultaneously.
In multivariate analysis, the assessment of factors independently associated with SVR rate was applied to the Poisson regression analysis.
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