In this series of posts, we’ll explore the “Win Ratio” methodology’s literature review and its application in clinical trials🔍

The Win Ratio, introduced in 2012, analyzes composite endpoints based on clinical priorities [1]. It prioritizes clinically significant events by calculating the total number of winners divided by losers.

💡 Key Features of the Win Ratio
– Considers relative priorities of individual components in composite endpoints.
– Combines qualitative and quantitative outcomes for a more informative analysis.
– Includes patient-centered outcomes, enhancing clinical relevance [2][3].

📊 Internal Implementation and Interpretation
Patients in treatment and control groups are paired based on risk profiles, and the Win Ratio is calculated for each pair. Ratios greater than 1 indicate a higher likelihood of favorable outcomes in the treatment group [1].

💻 Implementation using SAS and R
Researchers use statistical frameworks for “time to event” data, testing union hypotheses for hazard rates [4]. SAS and R facilitate straightforward implementation [5][9.2].

📖 Real Studies with Protocols and SAPs
The Win Ratio has been applied successfully in cardiovascular trials like NCT05411991 [10.1], NCT03888066 [10.2], and NCT01626079 [10.3], providing valuable insights for treatment comparisons.

🔗 References
[1] Pocock, S. J., et al. (2012).
[2] Pocock, S. J., et al. (2020).
[3] Ferreira, J. P., et al. (2021).
[4] Ipek, M., et al. (2014).
[5] Lachin, J. M. (2019).
[6] Lachin, J. M., et al. (2022).
[7] Lachin, J. M., et al. (2019).
[8] Bebu, I., et al. (2015).
[9.1] Bebu, I., et al. (2015).
[9.2] WinRatio package for R (Version 1.0.0) [Software].
[10.1]; NCT05411991.
[10.2]; NCT03888066.
[10.3]; (n.d.). NCT01626079.