9 June 2019
Multiple Imputation using Stata®
The course provides a practical overview of methods to estimate missing data. The course will introduce the basics of multiple imputation, in particular imputation by chained equations. By the end of this one day course, participants should be capable to analyse data by multiple imputation in Stata. Students should have a background in linear regression methods prior to taking this course.
Nicola Orsini (Karolinska Institutet)
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.
Students should have a background in regression methods prior to taking this course!
The course introduces the basics of multiple imputations, in particular imputation by chained equations.
It is possible to gain credits for the Summer School’s courses, but the decision is always made by the student’s own institution.
EUR 250: Students attending Summer School courses during the week pay a discounted fee of 250€ per course.
EUR 400: The fee for attending each Stata® course is 400€, but students attending Summer School courses during the week pay a discounted fee of 250€ per course.