You are viewing the site in preview mode

Skip to main content

Table 2 Comparison of AIC and BIC values using Cox, Exponential, Weibull and Log-logistic regression methods

From: Time-to-event analysis in economic evaluations: a comparison of modelling methods to assess the cost-effectiveness of transplanting a marginal quality kidney

Parameter Akaike information criterion (AIC) Bayesian information criterion (BIC)
Expo Weibull Log-L Log-N Expo Weibull Log-L Log-N
Graft failure following transplantation 1060.2 896.1 898.4 909.0 1065.2 906.1 908.4 919.0
Mortality following transplantation 1628.7 1628.1 1635.5 1666.2 1638.7 1633.1 1645.4 1676.2
Mortality following graft failure 23,759.2 23,700.6 23,770.5 24,046.3 23,766.3 23,714.8 23,784.7 24,060.5
Mortality while waitlisted 2093.2 2042.6 2047.9 2086.6 2098.4 2053.1 2058.4 2097.1
  1. Expo: Exponential model; Log-L: Log-logistic model; Log-N: Log-normal model
\