The webinar aims to provide information on the purpose and methods for covariate adjustment in randomized clinical trials (RCTs). The speakers will review and compare different approaches for adjusting for covariates in terms of the properties of the statistics, estimands, convergence and handling of missing data. The FDA's revised guidance on adjusting for covariates in RCTs and relevant commentary will be discussed with the objective to provide practical examples for analysis planning in studies. The speakers will offer insights into issues such as collapsibility, marginal and conditional effects and provide examples on how to use covariates to describe effects.
Who is this event intended for? Statisticians in the pharmaceutical industry working with randomised clinical trials.
What is the benefit of attending? Attendees will have the opportunity to learn about latest developments in covariate adjustment methodology and relevant practical implications.
Time: 13:00-16:00 GMT
Speakers: Jonathan Bartlett (London School of Hygiene & Tropical Medicine), Florian Voss (Boehringer Ingelheim), Rhian Daniel (Cardiff University), Tim Morris (MRC Clinical Trials Unit at UCL) and Seth Seegobin (AstraZeneca).
Member Price Complimentary
Standard Price £20
Professor in Medical Statistics at London School of Hygiene & Tropical Medicine
Expert Therapeutic Area (TA) Statistician at Boehringer Ingelheim Pharma GmbH & Co. KG
Professor of Statistics at the Division of Population Medicine at Cardiff University
Principal Research Fellow at MRC Clinical Trials Unit at UCL
Head of Biostatistics, Vaccine and Immune Therapies at AstraZeneca