Sentence examples for model assessment in from inspiring English sources

Insulin sensitivity was assessed by homeostasis model assessment in a baseline examination and then again at any time from 2 7 days after RYGB or after a 4-day period of caloric restriction for control patients.

Using approximately 10% of the data for model assessment in the outer loop also worked well for the real data sets.

We then formulate cross-validation algorithms for model selection and model assessment in classification and regression settings which avoid the pitfalls, and then show results of applying these methods on QSAR datasets.

Whether or not, the error estimate is biased can thus only be detected with fresh data that are independent of the model selection process which shows the necessity of independent test data and thus the necessity of model assessment in the outer loop.

The use of cross-validation and boosting in parameter selection and model assessment in MART® also preserve parsimony and prevent over-fitting [31].

Dexamethasone induced insulin resistance in both diabetic and nondiabetic subjects and resulted in an elevation in fasting glucose, insulin and HOMA2-IR homeostasis model assessment in the current study.

Insulin sensitivity was assessed using the homeostasis model assessment (HOMA), in which the HOMA of insulin resistance (HOMA-IR) = ([fasting insulin {μU/ml}] × [fasting glucose {mmol/l}])/22.5 (13).

Testosterone also produced a significant reduction in insulin resistance, measured by the homeostatic model assessment (HOMA), in the fourteen non-insulin treated patients.

A more systematic approach to model assessment, and in particular to the problem of identifying statistically significant features in a network, has been developed by Friedman et al. [16] using bootstrap resampling [17] and model averaging [18].

In some initial clinical trials, resveratrol supplementation improved glucose regulation in aged subjects with impaired glucose tolerance and improved homeostatic model assessment index in obese men (Timmers et al. 2011, Crandall et al. 2012).

First, they interviewed all selected providers using a knowledge questionnaire based on model assessment forms in the Needs Assessment Toolkit.