Prediction models play an important role in medicine to guide treatment decisions and to inform patients on their prognosis. The vast majority of prediction models developed in the medical literature have been designed to predict (disease-free) survival from diagnosis or start of treatment. But in clinical practice the patient regularly returns to the physician and it is important to be able to provide updated predicted probabilities of survival, taking into account clinical events that may have occurred, or clinical measurements that may have been made, between start of treatment and the time of prediction. Such prediction models, to be used after start of treatment and taking into account time-dependent information, are called dynamic prediction models. In this course we focus on the development and validation of dynamic prediction models in clinical survival analysis. We shall discuss how dynamic prediction probabilities can be obtained using traditional models and new approaches will be presented that have been developed in the last few years.The course will consist of a mix of lectures and computer practicals.

Course leader
Prof. Maria Grazia Valsecchi, Prof. Laura Antolini

Target group
The intended audience are applied statisticians, in particular biostatisticians who actively analyze clinical data in collaboration with clinicians. Intermediate knowledge of survival analysis is required.

Course aim
Course aim is to implement knowledge for all partecipants in the following topics:- The need of dynamic prediction and how to obtain it- Predictive accuracy of (dynamic) prediction models- Land-marking- Dynamic prediction using biomarkers and in multi-state models- Dynamic prediction using genomic data

Fee info
EUR 1300: STUDENTSCost include Hotel accomodation for entire program, meals, pick up form Bergamo International AirportIt covers tuition, teaching materials and tutoring services. plus 1 ticket and guided visit to EXPO Milan 2015 site. Also includes social and cultural activities program held by Erasmus Student Network Bicocca. EUR 1000: PHD STUDENTSCost include Hotel accomodation for entire program, meals, pick up form Bergamo International AirportIt covers tuition, teaching materials and tutoring services. plus 1 ticket and guided visit to EXPO Milan 2015 site. Also includes social and cultural activities program held by Erasmus Student Network Bicocca.

University of Milano-Bicocca
Address: Piazza dell'Ateneo Nuovo, 1
Postal code: 20126
City: Milan
Country: Italy
Website: http://www.summerschoolexpo2015.com
E-mail: summerschool@unimib.it
Phone: 02 64481