Randomized controlled trials can accurately show how a treatment affects a small group, but may not reflect how it works for the whole population. To fix this, researchers have come up with new ways to estimate treatment effects for everyone. By combining data from both experimental and observational studies, they can get a more accurate picture of how well a treatment works overall. This method was used to analyze the effectiveness of a clinical intervention called pulmonary artery catheterization.