Sentence examples for predictor effects from inspiring English sources
Hierarchical quantile Poisson log-normal regression is used to assess the most important predictors, variation in predictor effects by quantile, and varying impacts of predictors by region.
Table 2 expresses predictor effects in terms of odds ratios (exponentials of logit coefficients), interpreted as multiplicative effects on the odds favoring renewable energy development, or anthropogenic climate change, per 1-unit increase in each predictor.
Table 1 Regression parameter estimates (Means and 95% CrI or 95% CI) by estimation method, contaminated and uncontaminated dataa No contamination (C = 0) X1 X2 Generating Regression Parameters 0.8 −0.4 Predictor Effects (Mean, 95% CRI or CI), Estimation via: Negative Binomial Regression 0.793 (0.769, 0.817) −0.394 (−0.443, 0.346) Robust NB M-Estimation (Aeberhard et al).
Adjusted predictor effects were summarized using hazard ratios (HR) from the multivariable models.
After fitting the predictor effects of sleeping proximity, age and BCG scar status, the best fit was determined and the predicted probabilities for each ELISPOT combination were calculated.
The overall predictor effects in the validation data were re-estimated and compared with the reference overall predictor effects in the prediction model (reference is set to zero).
Models were adjusted for covariates that generated a change in predictor effect estimates of 5%% or more.
The analysis on cognitive outcome showed no significant predictor effect for any of the remission criteria used.
It is widely used to obtain the conditional probabilities of the outcome given predictors, as well as predictor effect size estimates using conditional odds ratios.
We found an independent predictor effect of reduction in work-home interface stress on job satisfaction in our cohort of physicians.
This could be explained by the generally weak predictor effect of COPD on VTE or it could be related to the inherent differences between hip and knee surgery.
