8 June 2021 - 9 June 2021
Statistical Methods for Health Economics & Outcomes Research
LEVEL - Introductory
TRACK - Economic Evaluation
LENGTH: 4 Hour | Course runs 2 consecutive days, 2 hours each day
Tuesday, 8 June | 2 hours of content
9:00AM-11:00AM (EDT) Eastern Daylight Time
13:00-15:00 (UTC) Coordinated Universal Time
15:00 -17:00 (CEST) Central European Summer Time
Wednesday, 9 June | 2 hours of content
10:00AM-12:00PM (EDT) Eastern Daylight Time
13:00-15:00 (UTC) Coordinated Universal Time
15:00-17:00 (CEST) Central European Summer Time
Click for time zone conversion
DESCRIPTION
This course will provide an introduction to statistical concepts with an emphasis on the use of techniques commonly employed in health economics and outcomes research. Faculty will begin by defining statistics, then introducing the concept of random variables and probability before proceeding to discuss the foundations of statistical inference (estimation and the testing of hypotheses). This is followed by bootstrapping, statistics in cost-effectiveness analysis and generalized linear modelling (for cost and utility outcomes). The differences between a classical (frequentist) approach to statistics and a Bayesian view of probability will also be outlined.
This course is intended for participants with little (or rusty!) statistical training.
FACULTY MEMBERS
Jim Lewsey, PhD
Reader in Medical Statistics
University of Glasgow
Glasgow, UK
Gerd K Rosenkranz, PhD
Professor, Applied Mathematics, Probability Theory, Statistics
Center for Medical Statistics, Informatics and Intelligent Systems
Medical University of Vienna
Vienna, Austria
Basic Schedule:
Class Time: 2 hours daily