Quantile Regression

Evidence quality

Other

Highlighted claims

• Models were estimated at the 10th, 25th, 50th, 75th, and 90th CCI quantiles. — Measuring the continuum of maternal, newborn, child,and reproductive health services among postpartum women in Ethiopia: a quantile regression analysis of the composite coverage index
• All selected predictors and covariates were included simultaneously in the multivariable quantile regression models. — Measuring the continuum of maternal, newborn, child,and reproductive health services among postpartum women in Ethiopia: a quantile regression analysis of the composite coverage index
• Sampling weights were used to account for stratification, clustering, and unequal selection probability. — Measuring the continuum of maternal, newborn, child,and reproductive health services among postpartum women in Ethiopia: a quantile regression analysis of the composite coverage index
• Quantile regression showed that determinants varied across the CCI distribution rather than operating uniformly. — Measuring the continuum of maternal, newborn, child,and reproductive health services among postpartum women in Ethiopia: a quantile regression analysis of the composite coverage index
• Quantile regression was used because predictor relationships with CCI could vary across the CCI distribution. — Measuring the continuum of maternal, newborn, child,and reproductive health services among postpartum women in Ethiopia: a quantile regression analysis of the composite coverage index
• Quantile regression was a strength because it examined determinants across the full CCI distribution instead of only average effects. — Measuring the continuum of maternal, newborn, child,and reproductive health services among postpartum women in Ethiopia: a quantile regression analysis of the composite coverage index