Skip to main content

Table 2 Measures of statistical goodness-of-fit

From: Evaluation of survival extrapolation in immuno-oncology using multiple pre-planned data cuts: learnings to aid in model selection

Acronym

Full name

Formula

−2LL

−2 × maximised  log  − likelihood

−2LL = 2 log(L)

AIC

Akaike information criterion

AIC = 2k − 2 log(L)

AICc

Akaike information criterion (corrected)

\( AICc=2k-2\mathit{\log}(L)+\frac{2{k}^2+2k}{n-k-1} \)

HQC

Hannan – Quinn information criterion

HQC = 2klog(log(n)) − 2 log (L)

BIC

Bayesian information criterion

BIC = log(n)k − 2 log(L)

  1. Key:k Number of model parameters; L Maximized likelihood function; log Natural logarithm; n Number of data points (sample size)