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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

Variable

τ = 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/m2

0.2008 (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 4–5

0.0978 (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 education

0.0213 (− 0.0346, 0.0838)

− 0.2115 (− 0.2912, − 0.1404)

Secondary education

0.1388 (0.0603, 0.2259)

− 0.5371 (− 0.6266, − 0.4518)

Higher education

0.0511 (− 0.3984, 0.3367)

−0.8267 (−1.0646, − 0.4284)

Poor

−0.0141 (− 0.0706, 0.0530)

0.0746 (0.0106, 0.1378)

Rich

0.0364 (−0.0208, 0.0942)

0.0479 (− 0.0167, 0.1105)

Richer

−0.0128 (− 0.0694, 0.0500)

−0.0732 (− 0.1378, − 0.0112)

Richest

0.1365 (0.0807, 0.1923)

−0.1102 (−0.1875, − 0.0335)

Mother height ≥ 150 cm

0.2662 (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 kg

0.0680 (−0.0438, 0.2173)

−0.1757 (− 0.4389 0.0197)

Variance parameters

 Mother age

0.1412

0.2004

 Antenatal visits

0.0165

0.0001

 Structured spatial effects

0.0121

0.0014

Model fit statistics

 LL

−19,390.79

−22,565.51

 DIC

38,357.7

44,731.5