Win Ratio -An Intuitive and Easy-To-Interpret Composite Outcome in Medical Studies.

In medical studies with multiple outcomes, researchers always need to make choices as to whether to use a composite outcome (after combining multiple outcomes) as their primary outcome. In this paper we review a new measurement of the treatment effect - win ratio, which can be easily used in studies with prioritized multiple outcomes. We also propose some research topics to be done in this area.

Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data.

In this paper we compare two moment-based methods which have been widely used to test the hypothesis of no treatment effect in pre- and post-treatment studies with data missing completely at random. Our theoretical derivation and simulation results show that the method based on all available data is not necessarily more efficient than the method that uses only complete data pairs. We propose an optimal linear combination of these two methods which turns to be more powerful in all cases.