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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