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Table 2 Variables in the models with GLM (linear regression, lognormal regression, gamma regression, regression with Box Cox power transformation), GAMLSS, quantile regression for τ = 0.9 (QR 0.9) and for τ = 0.97 (QR 0.97) for the School Entry Health Examination Study data in Bavaria, 2001–2002.

From: Alternative regression models to assess increase in childhood BMI

 

GLM

GAMLSS

QR 0.9

QR 0.97

Sex (SEX)

+

+

+

0

Pregnancy smoking (PS)

0

[0]

+

0

Watching TV (TV)

+

+

+

+

Breastfeeding (BF)

0

(+)

+

+

Meal frequency (MF)

+

+

+

+

Parents' graduate (PG)

0

[0]

0

0

Age (AGE)

+

+

+

0

Maternal BMI (MB)

+

+

+

+

Weight gain in first 2 y (WG)

+

+

+

+

  1. "+" denoting significant variables, "0" non-significant variables and, in case of GAMLSS, "(+)" variables only significant for the σ term and " [0]" variables only significant in the univariate models.5