How Can We Improve the Accuracy of Treatment Effect Estimates?
Several strategies can be employed to improve the accuracy of treatment effect estimates:
Stratified Analysis: Dividing patients into subgroups based on certain characteristics to better understand how different groups respond to treatment. Advanced Statistical Methods: Using techniques such as propensity score matching and multivariable regression to adjust for confounding variables. Real-World Evidence (RWE): Incorporating data from sources outside of clinical trials, such as electronic health records and patient registries, to provide a more comprehensive picture of treatment effects. Longitudinal Studies: Following patients over an extended period to observe long-term outcomes and side effects.
