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Table 3 Multivariable analysis using the log-logistic-inverse Gaussian frailty model

From: Modeling time-to-cure from severe acute malnutrition: application of various parametric frailty models

Covariates   Coefficients S.E. ϕ 95 % CI of ϕ
Intercept   2.542 0.072 12.711 (11.030, 14.648)*
Age group 0–5 months Ref   1.000  
  6–11 months 0.036 0.079 1.037 (0.888, 1.210)
  12–23 months 0.166 0.078 1.180 (1.014, 1.374)*
  34–35 months 0.064 0.085 1.066 (0.903, 1.258)
  36–47 months -0.022 0.092 0.979 (0.817, 1.173)
  48–59 months 0.028 0.094 1.029 (0.856, 1.236)
Type of Malnutrition Marasmus Ref   1.000  
  Kwashiorkor -0.045 0.044 0.956 (0.876, 1.043)
  Marasmic-kwashiorkor 0.014 0.070 1.014 (0.884, 1.165)
Co-infection No Ref   1.000  
  Yes 0.163 0.038 1.177 (1.093, 1.268)*
  log(scale) = -1.268 (0.031)*     τ = 0.081
  θ = 0.21(S.E = 0.055)     λ = 1.306e-4
  ρ = 3.56(S.E. = 0.134)     AIC = 4941.630
  1. Source: Wolisso St. Luke Catholic hospital, Ethiopia; from September 1, 2010 to January 31, 2012. *p < 0.05 was statistically significant. ϕ = Acceleration factor, θ = Variance of the random effect, τ = Kendall’s tau, AIC = Akaike’s Information Criteria, CI = confidence interval, S.E = standard error, Ref = Reference, λ = scale, ρ = shape.