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It was confirmed that the proportional hazards assumption was met for all covariates included in the Cox models using log(t) by covariates interactions[ 7].
We fit multivariable conditional logistic regression models using log transformed 25-OHD to investigate the effects of 25-OHD on our primary and secondary outcomes.
In the case of steroidogenesis, we found no significant associations of the phthalate metabolite levels with target genes in the models using log concentration levels (i.e., assuming linearity) (Table 5).
An adjusted and unadjusted survival analysis models using log rank test and cox regression models will be used to compare the mortality rates and the need of renal replacement therapy between the 4 groups.
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Three neural network models using log-sigmoid, radial basis and tan-sigmoid activation functions are developed for the transformed equation in an unsupervised manner.
Finally, we re-ran models using log-transformed creatinine-adjusted metabolites for comparative purposes.
Based on the hazard of recurrence for the average woman in the Churchill data set, we considered models using log-normal, log-logistic, and gamma distributions.
After adjustment for weight, month, age, and gender of the child in linear models using log-transformed whole-body Cs, we estimated the residuals.
We built a multivariable model using log binomial regression for possible explanation, adjusting for biologic and known confounding factors for racial association with disease and health conditions.
The response variables did not have a normal distribution; therefore call activity and number of call bouts (Poisson distributions) were modeled using log link functions.
To test the significance of the individual variables, we compare a reduced model that drops one of the independent variables with a full model using log likelihood test.
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