<p>Model comparison criteria based on AIC and Log likelihood test for different survival models.</p
1<p>lnL (log-likelihood score), <sup>2</sup>#p (numbers of parameter), <sup>3</sup>AIC (Akaike Infor...
<p>Log-likelihood ln(L), Akaike information criterion corrected for sample size (AICc), difference i...
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
<p>Comparison of the Adequacy Index and Log Likelihood ratios of diagnostic models.</p
<p>Log likelihoods (LL), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC)...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>Log-likelihood (<i>L</i>) and number of estimated parameters (<i>P</i>) are given for the differe...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
AIC: Akaike information criterion; PEP: protected exceedance probability; BIC: Bayesian information ...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>The AIC model comparison analysis of the ordinal logistic models (L<sub>n</sub>).</p
1<p>lnL (log-likelihood score), <sup>2</sup>#p (numbers of parameter), <sup>3</sup>AIC (Akaike Infor...
<p>Comparison of PATIENT survival estimates (multivariable Gray TVC vs. Cox PH models).</p
<p>A Statistical model comparison in testing the models when P = 105 and Q = 27.</p
1<p>lnL (log-likelihood score), <sup>2</sup>#p (numbers of parameter), <sup>3</sup>AIC (Akaike Infor...
<p>Log-likelihood ln(L), Akaike information criterion corrected for sample size (AICc), difference i...
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
<p>Comparison of the Adequacy Index and Log Likelihood ratios of diagnostic models.</p
<p>Log likelihoods (LL), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC)...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
<p>Log-likelihood (<i>L</i>) and number of estimated parameters (<i>P</i>) are given for the differe...
Models were compared by means of the Akaike information criterion (AIC). Each value represents the a...
AIC: Akaike information criterion; PEP: protected exceedance probability; BIC: Bayesian information ...
<p>Shown are Akaike’s Information Criteria (AIC) and differences between best model and competing mo...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>The AIC model comparison analysis of the ordinal logistic models (L<sub>n</sub>).</p
1<p>lnL (log-likelihood score), <sup>2</sup>#p (numbers of parameter), <sup>3</sup>AIC (Akaike Infor...
<p>Comparison of PATIENT survival estimates (multivariable Gray TVC vs. Cox PH models).</p
<p>A Statistical model comparison in testing the models when P = 105 and Q = 27.</p
1<p>lnL (log-likelihood score), <sup>2</sup>#p (numbers of parameter), <sup>3</sup>AIC (Akaike Infor...
<p>Log-likelihood ln(L), Akaike information criterion corrected for sample size (AICc), difference i...
<p><b>NP</b>: number of parameters. Branch numbers refer to the branches from the tree in <a href="h...
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