Sentence examples for variable validation from inspiring English sources

The variable validation rate among PM samples would be expected in a heterogeneous group composed of high-risk women.

For variable validation, we included only coronary CTAs because it is by far the most common indication for cardiac CT and the only one reported consecutively to the WDHR-CCTR since its establishment.

Although it was possible to obtain a PLS model with high R and relatively high Q with all 184 predictor variables, validation by response permutation showed that the overall PLS model could be due to chance because of the large number of compositional variables relative to the relatively small number of samples.

The Resource has also designed a CDE data dictionary to provide guidelines for each of the data managers regarding the definition of each CDE, its valid values, variable constraints, validation rules, and any requirements and useful comments with regard to each of the CDEs.

The steps involved in a Mendelian randomization investigation are: (1) specification of the dataset(s) for analysis, (2) search for candidate instrumental variables, (3) validation of the instrumental variable assumptions, (4) estimation of the causal effect (if appropriate), (5) supplementary and sensitivity analyses.

Because peroxisome biogenesis effects within deletion strains can be variable upon validation [9], those genes that have been identified in at least two system wide analyses are included in Table S2, for a total of 211 validated regulators in all the datasets.

The procedure of variable selection, validation and calibration of the final model was performed as described for Model 1. Models 1 and 2 were compared statistically by a likelihood ratio (LR) test.

29 34 No derivation studies defined a predictive variable; three validation studies did so for at least one variable (ie, cervical lymph node, 25 27 30 abnormal pharynx 25 and exudate 30), but 7/12 validation studies changed a variable (eg, tender node for node, fever ≥38°C for fever >38°C).

However, for the key VO2 variable, previous validation studies on the MM3B have produced inconsistent findings, with both overestimates (Perkins et al. 2004; Vogler et al. 2010) and underestimates (Brehm et al. 2004; Laurent et al. 2008; Prieur et al. 2003) being reported.

The variables in the final model are consistent with biological plausibility, but the predictive nature of these variables requires validation in future studies.

a In the training data, each logistic regression model used selected features as independent variables; in validation data, the logistic regression models used the feature group scores and the final feature score, respectively, as independent variable.