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Table 1 Summary statistics relating to growth curve models fit to the control data

From: Different ODE models of tumor growth can deliver similar results

model− 2*LLAICw(AIC)AICcw(AICc)BICw(BIC)
generalized logistic5159.695179.69.00375180.07.00385190.13.0038
Gompertz5182.795198.792.66E-075199.012.88E-075207.157.72E-07
von
Bertalanffy
5189.975209.979.94E-105210.359.95E-105226.425.05E-11
Simeoni5148.525168.52.99635168.90.99635179.01.9962
  1. Notes
  2. LL log likelihood, AIC Akaike information criterion, w(AIC) weights derived from candidate model AIC values, AICc corrected Akaike information criterion, w(AICc) weights derived from candidate model AICc values, BIC Bayesian information criteron, w(BIC) weights derived from candidate model BIC values
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