316) The Deviance Information Criterion, as a model selection criterion in the Bayesian |
317) ring this time, more robust approaches to model selection have been made feasible by |
318) multiple hypothesis testing as a multiple model selection problem. |
319) ved the modelling community well, but the model selection process has essentially re |
320) opulation pharmacokinetic/pharmacodynamic model selection. |
321) the parameter values for a mixed logistic model which allows quadratic changes over |
322) We have proposed a muscle model which consists of two Maxwell elemen |
323) col is tested by means of a computational model which resembles a human LV. |
324) es were observed in the DTI deterioration model, which are similar to the clinical m |
325) The zebrafish embryo is an animal model, which enables convenient studies on |
326) This model will allow a better understanding of |
327) erform large-scale testing, the developed model will be invaluable. |
328) The illness-death model will be used to identify and to expl |
329) urther developments of this computational model will predict the efficacy of therape |
330) This model will provide a basis for the constru |
331) The model can be used to estimate the repair p |
332) n experiment indicates that our stability model can be used to predict the stability |
333) We conclude that the logic model can not only be used as a planning m |
334) Forecasting using the APC model can provide an advanced warning of t |
335) glecting the covariance structure between model parameters and the uncertainty and p |
336) t are only indirectly related to the main model parameters. |
337) d due to dependence of the designs on the model parameters. |
338) l equations with a considerable number of model parameters. |
339) The initial model using default parameters yielded phy |
340) ure research should test this theoretical model using direct observation of mother-i |
341) We evaluated the goodness of fit of the model using the Hosmer-Lemeshow test and c |
342) cretised musculoskeletal multi-body spine model using the LifeMOD Biomechanics Model |
343) To test the proposed model, we examine survey data drawn from a |
344) In our model, we integrate negative regulations i |
345) Based on this model, we measured that total white matter |
346) In a full-thickness wound-healing model, we observed that rhCol-III gel enha |
347) resistance was assessed using homeostasis model assessment for insulin resistance (H |
348) divided into quartiles by the homeostasis model assessment of insulin resistance (HO |
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