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The relationship between TBDs seroprevalence and the risk factors was assessed by multivariable analysis using standard logistic regression models and mixed models using the farm as a random effect.
The combination of catecholestrogen metabolism genotypes and sulfation was previously identified in breast cancer risk [30] using standard logistic regression methods.
Each patient's predicted probability of death was obtained using standard logistic regression.
The multiply imputed dataset was then analyzed by using standard logistic regression for the complete data.
ORs and associated 95% CIs were also calculated using standard logistic regression methodology.
Experimentally, it is not feasible to test the significance of each gene in an array experiment using standard logistic regression.
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We therefore used standard logistic regression models for the remainder of the analysis.
Subsequently we used standard logistic regression procedures to examine the association between morning waking cortisol levels and subsequent onset of a DSM IV major depressive episode.
For association testing between polymorphic amino acids in human HLA genes and HIV sequence variation, we used standard logistic regression (for a binary HLA amino acid) or a multivariate omnibus test (when more than one alternate allele was present) including sex, cohort, and the coordinates of the first two principal component axes as covariates.
The risk is calculated using a standard logistic regression modelling approach using the casemix variables.
Our results were compared with those obtained using a standard logistic regression model and allow us to interpret the most relevant household assets and their complex interactions when adopting NTC, in order to aid in the design of rural policies.
More suggestions(9)
using standard logistic variance
using standard logistic model
using binary logistic regression
using standard multivariate regression
using standard multiple regression
using standard nonlinear regression
using multivariable logistic regression
using multivariate logistic regression
using exact logistic regression
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