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Relevant bibliographies by topics / Win ratio

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Journal articles

Academic literature on the topic 'Win ratio'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Win ratio"

1

Dong, Gaohong, Junshan Qiu, Duolao Wang, and Marc Vandemeulebroecke. "The stratified win ratio." Journal of Biopharmaceutical Statistics 28, no. 4 (2017): 778–96. http://dx.doi.org/10.1080/10543406.2017.1397007.

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2

Brunner, Edgar, Marc Vandemeulebroecke, and Tobias Mütze. "Win odds: An adaptation of the win ratio to include ties." Statistics in Medicine 40, no. 14 (2021): 3367–84. http://dx.doi.org/10.1002/sim.8967.

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3

Redfors, Björn, John Gregson, Aaron Crowley, et al. "The win ratio approach for composite endpoints: practical guidance based on previous experience." European Heart Journal 41, no. 46 (2020): 4391–99. http://dx.doi.org/10.1093/eurheartj/ehaa665.

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Abstract The win ratio was introduced in 2012 as a new method for examining composite endpoints and has since been widely adopted in cardiovascular (CV) trials. Improving upon conventional methods for analysing composite endpoints, the win ratio accounts for relative priorities of the components and allows the components to be different types of outcomes. For example, the win ratio can combine the time to death with the number of occurrences of a non-fatal outcome such as CV-related hospitalizations (CVHs) in a single hierarchical composite endpoint. The win ratio can provide greater statistical power to detect and quantify a treatment difference by using all available information contained in the component outcomes. The win ratio can also incorporate quantitative outcomes such as exercise tests or quality-of-life scores. There is a need for more practical guidance on how best to design trials using the win ratio approach. This manuscript provides an overview of the principles behind the win ratio and provides insights into how to implement the win ratio in CV trial design and reporting, including how to determine trial size.

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4

Mao, Lu. "On the alternative hypotheses for the win ratio." Biometrics 75, no. 1 (2018): 347–51. http://dx.doi.org/10.1111/biom.12954.

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5

Ferreira, João Pedro, Pardeep S. Jhund, Kévin Duarte, et al. "Use of the Win Ratio in Cardiovascular Trials." JACC: Heart Failure 8, no. 6 (2020): 441–50. http://dx.doi.org/10.1016/j.jchf.2020.02.010.

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6

Loh, Jillian. "Could the Pay Ratio Disclosure Backfire?" Texas A&M Law Review 4, no. 3 (2017): 417–48. http://dx.doi.org/10.37419/lr.v4.i3.5.

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At the signing of the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010 (“Dodd-Frank Act”), President Barack Obama asserted that, “We all win when investors around the world have confidence in our markets. We all win when shareholders have more power and more information. . . . And we all win when folks are rewarded based on how well they perform, not how well they evade accountability.” After the financial crisis in 2008, the Obama Administration recognized the need to reconstruct the existing American financial regulatory system to ensure that a financial meltdown would never happen again. It is quite clear that Congress’s purpose behind the Dodd-Frank Act is to redevelop the financial system to ensure that the 2008 financial crisis will never be repeated. However, the Dodd-Frank Act contains considerable provisions that add substantial new requirements for certain publicly traded companies based in the United States. Analysts have theorized that the creation of new regulations relating to executive compensation and corporate governance was due to assertions that large executive pay contributed to the financial crisis. There has been much debate over whether such changes to executive compensation and corporate governance practices under Title IX of the DoddFrank Act are meeting the intended goals of financial system reform.

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7

Dong, Gaohong, David C. Hoaglin, Junshan Qiu, et al. "The Win Ratio: On Interpretation and Handling of Ties." Statistics in Biopharmaceutical Research 12, no. 1 (2019): 99–106. http://dx.doi.org/10.1080/19466315.2019.1575279.

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8

Finkelstein, Dianne M., and David A. Schoenfeld. "Graphing the Win Ratio and its components over time." Statistics in Medicine 38, no. 1 (2018): 53–61. http://dx.doi.org/10.1002/sim.7895.

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9

Luo, Xiaodong, Hong Tian, Surya Mohanty, and Wei Yann Tsai. "Rejoinder to “on the alternative hypotheses for the win ratio”." Biometrics 75, no. 1 (2018): 352–54. http://dx.doi.org/10.1111/biom.12953.

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10

Kandzari, David E., Graeme L. Hickey, Stuart J. Pocock, et al. "Prioritised endpoints for device-based hypertension trials: the win ratio methodology." EuroIntervention 16, no. 18 (2021): e1496-e1502. http://dx.doi.org/10.4244/eij-d-20-01090.

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