Quantiles of the marginal and conditional dose-response relation based on weighted mixed-effects models

Questions about the shape of the dose-response relationship are commonly asked based on multiple tables of aggregated and correlated estimates. The aim of this Cochrane Learning Live webinar is to provide an understanding of weighted mixed-effects models and how to conduct statistical inference on marginal and conditional quantiles of the dose-response relation. Simulated and real examples will be used to illustrate possible applications of the statistical model as well as statistical software.

The session is aimed at statisticians and meta-analysts with some familiarity with random-effects regression models and meta-analysis.
 


Presenter Bios

Nicola Orsini, PhD, Senior Researcher, Associate Professor of Medical Statistics, Dept Global Public Health, Karolinska Institutet. Advisory Board of Cochrane Sweden. Dr. Orsini has published extensively on meta-analysis of dose-response relationships. Dr. Orsini has been named Highly Cited Researcher by Clarivate Analytics in the field of Social Science for five consecutive years (2017/2021). He is an elected member of the Society of Research Synthesis Methods and fellow of the Royal Statistical Society.


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Thursday, 24 March 2022, 9:00am UTC [Check the time in your time zone] SIGN UP HERE