<p>Multivariable regression model for body weight and its association with dietary group from 0 to 108 weeks of life, including potential confounders. Calf was included as a random effect. The residual variance attributed to individual calf ID was 34.3% (95% CI 28.0–41.4). Coefficients for time (in weeks) and interaction terms are omitted for clarity.</p
<p>SE is standard error. Biological age - years from age at peak height velocity (APHV). SED - seden...
<p>Multivariable Logistic regression model showing independent predictors of 28-day mortalit.</p
<p>Model 1: adjusted for age at follow-up, sex, intervention group.</p><p>Model 2: as model 1 plus a...
<p>Random-effects parameters for multivariable regression model for the association between body wei...
Factors associated with infant weight gain at different time windows: results from multivariate line...
<p>Model 1: adjusted for age at follow-up, gender, intervention group.</p><p>Model 2: as model 1 plu...
Coefficients represent the difference in anthropometric indicators comparing children 6–24 months as...
Not Availablesee more details. A total of 46 neonatal dromedary calves of 4 dromedary genotypes comp...
Random regression models were used to estimate the types and orders of random effects of (co)varianc...
The objective of this study was to estimate (co)variance functions using random regression models on...
Logistic regression bivariate and multivariate modelling, associations between at risk of malnutriti...
<p>Results were obtained by use of a three-level random intercept, random slope (for time) model.</p...
<p>Final logistic regression model of the factors significantly associated with a change in the odds...
Weight records of Brazilian Nelore cattle, from birth to 630 d of age, recorded every 3 mo, were ana...
<p>Multivariable regression analysis of the association of underweight with poor self-rated health, ...
<p>SE is standard error. Biological age - years from age at peak height velocity (APHV). SED - seden...
<p>Multivariable Logistic regression model showing independent predictors of 28-day mortalit.</p
<p>Model 1: adjusted for age at follow-up, sex, intervention group.</p><p>Model 2: as model 1 plus a...
<p>Random-effects parameters for multivariable regression model for the association between body wei...
Factors associated with infant weight gain at different time windows: results from multivariate line...
<p>Model 1: adjusted for age at follow-up, gender, intervention group.</p><p>Model 2: as model 1 plu...
Coefficients represent the difference in anthropometric indicators comparing children 6–24 months as...
Not Availablesee more details. A total of 46 neonatal dromedary calves of 4 dromedary genotypes comp...
Random regression models were used to estimate the types and orders of random effects of (co)varianc...
The objective of this study was to estimate (co)variance functions using random regression models on...
Logistic regression bivariate and multivariate modelling, associations between at risk of malnutriti...
<p>Results were obtained by use of a three-level random intercept, random slope (for time) model.</p...
<p>Final logistic regression model of the factors significantly associated with a change in the odds...
Weight records of Brazilian Nelore cattle, from birth to 630 d of age, recorded every 3 mo, were ana...
<p>Multivariable regression analysis of the association of underweight with poor self-rated health, ...
<p>SE is standard error. Biological age - years from age at peak height velocity (APHV). SED - seden...
<p>Multivariable Logistic regression model showing independent predictors of 28-day mortalit.</p
<p>Model 1: adjusted for age at follow-up, sex, intervention group.</p><p>Model 2: as model 1 plus a...