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Each outcome was modeled with logistic regression using the proc multilog procedure in SAS-callable SUDAAN version 9.0.
After bi-variate testing the probability of disability was modeled with logistic regression.
The association of prenatal exposure to organochlorines with childhood obesity and childhood overweight was modeled with logistic regression.
1. Natural Killer Cells = CD16 + 56+/CD45+ SD = Standard Deviation Hosmer and Lemeshow tests were performed on all of the outcomes modeled with logistic regression.
It also presents the results from the two-part model, in which first the incurrence of expenditure was modeled with logistic regression followed by a linear mixed model to estimate the components of variance of the level of cost conditional upon incurring any expense.
Time course steatosis and gene expression data were modeled with logistic (for the steatosis incidence) and linear (for the log2-gene expressions) mixed effects models, with fixed effects for the interaction between time point and treatment and a constant random effect for the clutches, to account for within-clutch correlations.
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The risk of an event was modelled with logistic regression.
The risk of events was modelled with logistic regression.
The primary outcome will be modelled with logistic regression in order to evaluate a 95% confidence interval for odds ratio according to treatment group adjusted for key prognostic variables, including if significant, geographic centre.
The group membership equation (Eq. 11) could be modeled with the logistic distribution.
The association between cow level lameness risk and cow specific risk factors was modeled with a logistic regression analysis.
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