Validation of Biomarker-Based Risk Prediction Models

Validation of biomarker-based risk prediction models.

The increasing availability and use of predictive models to facilitate informed decision making highlights the need for careful assessment of the validity of these models. In particular, models involving biomarkers require careful validation for two reasons: issues with overfitting when complex models involve a large number of biomarkers, and interlaboratory variation in assays used to measure ...

Experimental Validation of Percolation-based Models for Propagation Prediction

construction and validation of a computerized adaptive translation test (a receptive based study)

آزمون انطباقی رایانه ای (cat) روشی نوین برای سنجش سطح علمی دانش آموزان می باشد. در حقیقت آزمون های رایانه ای با سرعت بالایی به سمت و سوی جایگزین عملی برای آزمون های کاغذی می روند (کینگزبری، هاوسر، 1993). مقاله حاضر به دنبال آزمون انطباقی رایانه ای برای ترجمه می باشد. بدین منظور دو پرسشنامه مشتمل بر 55 تست ترجمه میان 102 آزمودنی و 10 مدرس زبان انگلیسی پخش گردید. پرسشنامه اول میان 102 دانشجوی س...

Semi-Supervised Learning Based Prediction of Musculoskeletal Disorder Risk

This study explores a semi-supervised classification approach using random forest as a base classifier to classify the low-back disorders (LBDs) risk associated with the industrial jobs. Semi-supervised classification approach uses unlabeled data together with the small number of labelled data to create a better classifier. The results obtained by the proposed approach are compared with those o...

Application of reliability models to studies of biomarker validation.

We present a model of biomarker validation developed in our laboratory, the results of the validation study, and the impact of the estimation of the variance components on the design of future molecular epidemiologic studies. Four different biomarkers of exposure are illustrated: DNA-protein cross-link (DNA-PC), DNA-amino acid cross link (DNA-AA), metallothionein gene expression (MT), and autoa...