Cison di Valmarino-Treviso, Italy

Simulation studies in Stata®

when 10 June 2019 - 15 June 2019
language English
duration 1 week
fee EUR 1450

When designing and analysing studies, we often have several choices regarding the methods we use. But how should we choose among methods? How do we know if any of the available methods are suitable? Simulation studies are an invaluable tool to help us understand methods. However, To perform a meaningful simulation study, careful thought needs to be put into planning, coding, analysis and interpretation. This course will help participants to a) Understand what simulation studies can and cannot be used for b) Appreciate the importance of careful planning, providing a framework for approaching design of their own simulation studies c) Know how to code and debug simple simulation studies in Stata d) Analyse data arising from simulation studies e) Present results for publication. Practical sessions will be taught using Stata, and participants should be reasonably familiar with Stata.

Course leader

Tim Morris (MRC Clinical Trials Unit at UCL)

Target group

Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation. They will acquire familiarity with epidemiological and biostatistical principles and techniques and with the computational tools needed to solve practical problems.
Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest, so they can more effectively address problems in health research. They will gain knowledge in modern, advanced methods useful for health professionals engaged in clinical practice, research and teaching.

Course aim

This course will help participants to a) Understand what simulation studies can and cannot be used for b) Appreciate the importance of careful planning, providing a framework for approaching design of their own simulation studies c) Know how to code and debug simple simulation studies in Stata d) Analyse data arising from simulation studies e) Present results for publication.

Credits info

It is possible to gain credits for the Summer School’s courses, but the decision is always made by the student’s own institution.

Fee info

EUR 1450: For University students: Registration before March 24th, 2019 €1,250. After March 24th, 2019 €1,450.
EUR 1650: General: Registration before March 24th, 2019 €1,450. After March 24th, 2019 €1,650.