The article discusses different methods used in scientific studies to compare treatments and control for factors that could affect the results. One new method called PENCOMP was introduced to improve the accuracy of these comparisons. When there is limited overlap in the groups being compared, PENCOMP performs better than other methods in estimating the effects of treatments. This was shown in simulations and real-life examples involving HIV treatments and treatments for critically ill patients.