Claims-based variables shown are included in the model selected from automated modeling procedures with rheumatoid arthritis records-based index of severity (RARBIS) as the dependent variable and potential claims-based variables as independent variables.
We show that it is a consistent model selection criterion in the sense that as sample size tends to infinity, the model selected coincides with the true model with probability approaching to one.
The model selected and the analysis performed have some limitations.
Let M n be the model selected using RDBC when sample size is n.
It is obvious that the model selected by single cross-validation may have high variance.
They also imitated, as did 2-year-olds, when the model selected a suboptimal rather than nonaffordant tool.
The model selected for CINF-OIL is a MSIAH(2 -VAR 5) model and the results are given in Table 8.
The Bayesian analysis was implemented in MrBayes 2.3 (Ronquist and Huelsenbeck 2003) and was based on the model selected by MODELTEST above.
The model selected eight molecular descriptors that encoded information about lipophilicity, the formation of H-bonds, polar surface area, polarisability, nucleophilicity and electrophilicity.
Using the monotonic stress strain curve as a backbone, the hysteretic response models define unloading and reloading curves depending on the model selected from the VecTor2.
But this method requires rigid conditions to ensure model matching; consequently, the imaging quality may be worse if observations cannot perfectly match the model selected.
