The Covid-19 pandemic has had a well-documented impact on the running of clinical trials. As we discussed in our previous COVID webinar the sudden stopping of studies has resulted in significant volumes of missing data. It is important that appropriate statistical methods are applied to accommodate this missing data, and analysis that was initially planned is reviewed against the new structure of the data available.
In this webinar we will discuss:
Types of missing data that may occur
Examples of missing data patterns in impacted studies
Practical statistical approaches to accommodate the various types and structures of missing data