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Table 3 Compares AFT and Frailty models using data on time to recovery status

From: Determine the factors affecting the time to recovery of children with bacterial meningitis at Jigjiga university referral hospital in the Somali Regional State of Ethiopia: using the parametric shared frailty and AFT models

Distribution

AIC

BIC

log-likelihood

Exponential

29672.82

29779.60

− 11148

Weibull

20063.76

20178.13

− 11256

Log logistic

20063.76

20178.13

− 11256

Generalized gamma

19883.78

20005.78

− 11126

Log-normal

19865.06

19997.29

− 11025

Baseline hazard function

Frailty distribution

AIC

BIC

DIC

Exponential

Gamma

3324.760

418.870

371.710

Inverse Gaussian

3325.506

389.378

350.024

Weibull

Gamma

2824.988

392.919

353.197

Inverse Gaussian

2813.650

394.808

354,871

Lognormal

Gamma

2691.597

410.978

379.897

Inverse Gaussian

2674.080

314.987

332.510

Log logistic

Gamma

2692.105

399.389

379.024

Inverse Gaussian

2675.287

389.991

396.179

  1. Bold values indicate selected model that means Inverse Gaussian models was the appropriated for our study
  2. AIC Akaike’s information criteria, BIC Bayesian information criterion, DIC deviance information criterion