Using observational data for personalized medicine when clinical trial evidence is limited

Randomized clinical trials are considered the preferred approach for comparing the effects of treatments, yet data from high-quality clinical trials are often unavailable and many clinical decisions are made on the basis of evidence from observational studies. Using clinical examples about the management of infertility, we discuss how we can use observational data from large and information-rich health-care databases combined with modern epidemiological and statistical methods to learn about the effects of interventions when clinical trial evidence is unavailable or not applicable to the clinically relevant target population.
Source: Fertility and Sterility - Category: Reproduction Medicine Authors: Tags: Views and reviews Source Type: research