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 was 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 were used to illustrate possible applications of the statistical model as well as statistical software.

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

The webinar was delivered in March 2022 and below you will find the video from the webinar, together with accompanying slides to download [PDF].

Presenter Bio

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..


Additional materials

Download the slides from the webinar [PDF].