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ACADEMIC RECOGNITION OF 3 OR 6 CREDITS


DESIGNED FOR EXPERTS BY EXPERTS


EFFECTIVENESS RESEARCH WITH LONGITUDINAL DATABASES


OBJECTIVES



Large longitudinal healthcare databases have become important tools for studying the utilization patterns and clinical effectiveness of medical products and interventions in a wide variety of care settings.

This course will introduce students to identify and use longitudinal databases for their own research. Strengths and limitations of large longitudinal healthcare databases that are commonly used for research will be considered.

The course will provide an introduction to analytic principles and their application to database research.

Participants will learn through lectures by experienced faculty and by evaluating published database studies. In computer labs, they will learn to implement a database study comparing two medical products in a large healthcare claims database. The project will be conducted using the Aetion platform with an intuitive user interface that does not require any programming skills.

 

PLACE AND SCHEDULE

 

This course is a blended learning course:

- From mid-May 2017, a theoretical part of the course is available through online learning on the Eu2P e-learning platform,

- From June 5 to June 10 2017, the course is taught within the Summer School on Modern Methods in Biostatistics and Epidemiology at Castello Brandolini Colomban (Treviso, Italy) during the Summer School in Modern Methods in Biostatistics and Epidemiology, Veneto, Italy (contact Eu2P Central Office for more information or visit http://www.biostatepi.org).

When your register to this course through the Eu2P website application tool, this enables you to be awarded with a Eu2P academic certificate diploma bearing 3 ECTS credits.

Effectiveness research, healthcare databases, study design principles, data analysis approaches, Aetion evidence platform.

 

MODULE PARTS



  1. Introduction to Effectiveness Research with Longitudinal Healthcare Databases
  2. Topics in Design and Analysis of Longitudinal Healthcare Database Studies

 

TRAINER TEAM



Coordinator: Pr Sebastian Schneeweiss (from Harvard Medical School)

Expert(s): Dr Elisabetta Patorno (from Harvard Medical School).

Intermediate level
75 h workload over 3 months (3 ECTS credits)
Key dates
Course calendar
Certificate award
or included in PhD or PhD programme
English language
Online + face to face based learning
Student: 1,500 €
Professional: 3,000 €
  Savings could be offered under eligibility conditions.

APPLY NOW

Applications open until May 24th, 2017

Or include this module in your training curriculum choices...

PhD



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