Sentence examples for model development cohort from inspiring English sources

The AUC ROC for ARDS in the model development cohort was 0.73 (95% confidence interval (CI): 0.62 – 0.62).

After review of our data set comprising a model development cohort with tumour size <4 cm (n=248), PET/CT sensitivity and negative predictive values were 63.9% and 93.5%, respectively.

First, the bivariate relationship between risk factors and LNM was assessed in the model-development cohort.

In the model-development cohort, 34% of them were classified as low risk and negative predictive value (NPV) was 99.0%.

The nomogram classified 102 out of 304 patients (34%) in the model-development cohort as low risk.

Patients who were diagnosed during 2009 2010 were assigned to a model-development cohort (n=304) and the others were assigned to a validation cohort (n=189).

The Hosmer Lemeshow test yielded a P-value of 0.566 for the model-development cohort, showing that the nomogram was well fitted.

The concordance indices for the MRI-based model were 0.811 955% CI, 0.753−0.863) and 0.770 955% CI, 0.682−0.846) for the model-development cohort and validation cohort, respectively (Table 4).

Although the observed metastasis rates of the predicted low-risk group using the MRI-based model were 0% (0 out of 46) and 4.2% (1 out of 24) in the development and validation cohorts, respectively, the MRI-based model predicted rates of 15.1% (46 out of 304) in the model-development cohort and 12.7% (24 out of 189) in the validation cohort.

The training set for model development was retrospective cohort data from 2/1/94 through 5/31/02.

The AUCs of this model for predicting CPC 1 and 2 in the model development and validation cohorts were 0.92 (95% CI = 0.91 to 0.92) and 0.88 (95% CI = 0.87 to 0.90), respectively.