Title: Multivariate decoding of brain images using
ordinal Regression Author: O. Doyle et al..
Title: Predicting progression of Alzheimer's disease using
ordinal regression Author: O. M. Doyle et al..
Title: Multivariate decoding of brain images using
ordinal regression Author: O. M. Doyle et al..
Not exact matches
The above classification of MPs then formed the basis of the
ordinal logistic
regression analyses [5] used to determine common traits among the out camp.
Tobit
regression will be used to confirm the sensitivity of linear
regression to a non-normal distribution for outcomes with a censored normal distribution, and
ordinal logistic
regression for outcomes with up to five ordered categories.
Univariate and multivariable
ordinal logistic
regression (using the proportional odds model) were used to assess associations between the parenting variables and the odds of higher BMI status in the child (nonoverweight, overweight, or obese).
We used
ordinal logistic -
regression analysis to test the independent effects of each variable, adjusting for demographics, child personality, and parenting style.
Consequently, cG × E was interpreted cautiously, calculations of observed power were computed, and data were additionally analyzed using Poisson log - linear
regressions, which are suitable for non — normally distributed
ordinal variables.