Estimated effects and 95% bootstrap confidence intervals for boosting logistic regression models for the binary variables stunting and severe stunting.1,2,3

1Significant effects are shown in bold; please see Figure 2, footnote 1, on how statistical signifance is assessed.2The effect of a covariate in logistic regression relates to the log-odds ratio for being stunted or severely stunted (in contrast to quantile regression where an effect relates to the respective quantile of the Z-score). For example, the log-odds ratio for being stunted for girls is −0.080 smaller compared to boys, given all other covariates are similar.3Absolute values of effects from Table 3 cannot be compared to those from Table 2, but reversed effect signs indicate concordant results from quantile and logistic regression.