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Table 3 Summary of quantile regression models

From: Spatial quantile regression with application to high and low child birth weight in Malawi

Variableτ = 0.05 (LBW)τ = 0.95 (HBW)
Normal BMI (18.50–25 kg/m2)0.3587 (0.2609, 0.4569)−0.0069 (−0.1569, 0.1274)
Mother BMI >25 kg/m20.2008 (0.0976, 0.2895)−0.2378 (−0.3781, −0.0697)
Smoke (yes)0.2409 (0.0708, 0.4100)0.3155 (−0.0044, 0.6142)
Birth order 2–3− 0.0165 (− 0.0688, 0.0363)0.0155 (− 0.0513, 0.0858)
Birth order 4–50.0978 (0.0195, 0.1859)0.0793 (− 0.0152, 0.1772)
Birth order 6+− 0.0120 (− 0.1163, 0.1034)0.1731 (0.0489, 0.3082)
Primary education0.0213 (− 0.0346, 0.0838)− 0.2115 (− 0.2912, − 0.1404)
Secondary education0.1388 (0.0603, 0.2259)− 0.5371 (− 0.6266, − 0.4518)
Higher education0.0511 (− 0.3984, 0.3367)−0.8267 (−1.0646, − 0.4284)
Poor−0.0141 (− 0.0706, 0.0530)0.0746 (0.0106, 0.1378)
Rich0.0364 (−0.0208, 0.0942)0.0479 (− 0.0167, 0.1105)
Richer−0.0128 (− 0.0694, 0.0500)−0.0732 (− 0.1378, − 0.0112)
Richest0.1365 (0.0807, 0.1923)−0.1102 (−0.1875, − 0.0335)
Mother height ≥ 150 cm0.2662 (0.1627, 0.3517)0.3184 (0.1069, 0.4814)
Mother weight (45-70 kg)−0.1559 (−0.2627, 0.0048)−0.1777 (−0.4115, 0.0417)
Mother weight > 70 kg0.0680 (−0.0438, 0.2173)−0.1757 (− 0.4389 0.0197)
Variance parameters
 Mother age0.14120.2004
 Antenatal visits0.01650.0001
 Structured spatial effects0.01210.0014
Model fit statistics
 LL−19,390.79−22,565.51
 DIC38,357.744,731.5