Special Analytical Methods:
Depending on the study objectives, RWD might require special analytical methods. For example, if the objective involves determining cause and effect related to safety or effectiveness, then the lack of randomization to alternative treatments (including no treatment) might introduce confounding of causes. The RWE analysis must account for this possibility by using methods like propensity score matching or causal modeling. Our team will explain what is required for your study and discuss recommended options.
Because RWD is often collected for reasons other than research (e.g., medical records), preparing it for research requires skill and experience dealing with data sources that may not align properly, contain missing or discrepant values, and be poorly documented. Our Statistical team have extensive experience analyzing and reporting real world and administrative data.
Contact us to learn more about our Real World Evidence Services