Skip to main content

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.