Sentence examples for model with log transformed from inspiring English sources

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Because urinary cadmium concentration is a marker of cumulative exposure it tends to increase with age (bivariate model with log transformed urinary cadmium: βage = 0.0262, 95%CI: 0.0227, 0.0296).

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Separate models with log transformed response and combination of log transformed and non-transformed predictor variables were fitted for each of the plot sizes.

Given the nonparametric distribution of the semen parameters and AGD, linear regression models were also run with log transformed variables with no differences in the overall conclusions.

Furthermore, we did a linear mixed model analysis to check for carryover effects, with log transformed proteinuria as a dependent variable, participants as a random factor, and treatment and sequence as well as their interaction (treatment*sequence) as fixed factors.

Latent period was analyzed with a split-plot ANCOVA, with log transformed pustule density included as a covariate in the model.

Log transformed BNP levels correlated with log transformed NT-proBNP levels (r = 0.43, p-value <0.05).

The main and interaction effects of various factors on viral polymerase activities were analyzed by full factorial ANOVA (Univariate General Linear Model) with the log transformed dataset.

The use of a gamma distributed generalized linear model with a log transformed link function has been shown to be a good method to estimate healthcare cost distributions that are generally right-skewed, especially when the log transformed dependent variables do not have heavy tails or excessive heteroscedasticity such as was found to be true in these data [ 9].

Models similar to the above were also run with variables included in the model as log transformed continuous variables with the incidence rate ratio estimated for the risk related to a 10% increase in the value of the variable.

In addition, we analysed the relationship between mean oocyst and mean sporozoite density per cage with a general linear model on log transformed data.

To determine significant (p≤0.05) associations between disease status and cytokine changes, we fit a multivariate linear model using natural log transformed cytokine levels, with age in years, and contact lens use as covariates.

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