Search alternatives:
significant predictors » significant reduction (Expand Search)
predictors based » predictions based (Expand Search), predictors used (Expand Search), prediction based (Expand Search)
point decrease » point increase (Expand Search)
significant predictors » significant reduction (Expand Search)
predictors based » predictions based (Expand Search), predictors used (Expand Search), prediction based (Expand Search)
point decrease » point increase (Expand Search)
-
41
Significant (p<0.05) predictors of animal-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models.
Published 2020“…<p>Significant (p<0.05) predictors of animal-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models.…”
-
42
-
43
-
44
Significant (p<0.05) predictors of healthy plant-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models.
Published 2020“…<p>Significant (p<0.05) predictors of healthy plant-based food groups (grams) during the dry and rainy seasons in Malawi, from multivariate models adjusted for all predictors significant (p<0.10) in univariate models.…”
-
45
Negative binomial models on the weekly drinking amount in Scotland, 2008–2021.
Published 2024Subjects: -
46
-
47
-
48
-
49
-
50
-
51
-
52
-
53
-
54
-
55
-
56
-
57
-
58
Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset.
Published 2024“…Acceptance threshold is indicated by the colour bar on the right-hand side, and also shown at discrete points on the curve. (b) Graph depicting the relative contribution of predictor variables to the all-variable XGBoost model for the <i>significant illness</i> binary. …”
-
59
-
60