November 6: Statistical Methods for Health Economics & Outcomes Research - In Person at ISPOR Europe 2022
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 modeling (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.
Professor of Medical Statistics
Health Economics and Technology Assessment
Institute of Health & Wellbeing
University of Glasgow
Glasgow, UK
Derrick Bennett, MSc, PhD, Cstat
Associate Professor
University of Oxford
Medical Sciences Division
UK
November 6, 2022
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Statistical Methods for Health Economics & Outcomes Research
LEVEL: Intermediate
TRACK: Economic Evaluation
LENGTH: 4 Hours | Course runs 1 day
This short course will be offered in-person at the ISPOR Europe 2022 conference. Separate registration is required. Visit the ISPOR Europe 2022 website to register and learn more.
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 modeling (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
James Lewsey, PhD, CStatProfessor of Medical Statistics
Health Economics and Technology Assessment
Institute of Health & Wellbeing
University of Glasgow
Glasgow, UK
Derrick Bennett, MSc, PhD, Cstat
Associate Professor
University of Oxford
Medical Sciences Division
UK
Basic Schedule:
4 Hours | Course runs 1 Day