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

Join our webinar on Statistical Analysis of Prognostic Biomarkers in Personalised Medicine

November 8, 2016 – Pharmaceutical –

Exploristics will be holding webinar on, ëStatistical Analysis of Prognostic Biomarkers in Personalised Medicineí.

Date: Tuesday 8 November, 2016

Time: 2.00pm (GMT Coordinated Universal Time).

Register for the webinar:https://join.onstreammedia.com/register/58103344/personalisedmedicine

Description:

Prediction models are becoming more and more important in medicine and cardiology.

Often these are based on a combination of established risk factors e.g. blood pressure and biomarkers such as those derived from genomics and proteomics.

Nowadays, specific interest focuses on ways in which models can be improved using new prognostic biomarkers, e.g. PSA, Oncotype DX, that predict patient response irrespective of treatment and are important in risk stratification.

We will discuss the evaluation of predictions using established performance measures such as the area under the ROC curve and calibration and the evaluation of classifications, where recent statistics are available, including reclassification metrics, net benefit and decision curves.

We shall illustrate the methods in the context of testicular cancer where novel biomarkers are urgently needed to distinguish indolent cancer from aggressive cancer requiring radical treatment.