Evaluating the Use of Real-World Data as a Source for Full or Hybrid Control Arms for Clinical Trials

Date: 
November 4, 2020
Time: 
3:00 - 4:00pm
Place: 
Zoom - Registry Link Below

Real-world data has been a source for creating control arms to evaluate results from single-arm trials in rare diseases and scenarios where randomization to a control group is unethical or unfeasible. However, reliable decision-making based on this methodology depends heavily on the validity of the control arm data. Faries will discuss the use of real-world data to supplement small control arms in RCTs – a hybrid approach which allows one to assess the validity of the control data. His talk will address the evaluation of statistical methodology for creating real-world control arms, including matching and reweighting algorithms, and the assumptions for validity of these methods.

 

 

 

Image previewSpeaker: Douglas Faries, PhD, Senior Research Fellow, Real World Analytics, Eli Lilly & Company

 

 

Register: http://eepurl.com/g1X35P

 

Event Type: 
Biostatistics and Bioinformatics Seminar