Quantitative Bias Analysis To Strengthen Comparative Effectiveness
Source: Cytel
By Esha Senchaudhuri
As more payers and HTA agencies turn to real world data to compare the effectiveness of various treatment effects, two sources of bias might become problematic for sponsors. In this blog, learn how being able to identify and quantify such bias is a major step towards convincing decision-makers of the soundness of comparative effectiveness findings using real world data.
To learn more about Cytel, visit their Clinical Leader page.
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