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pro vyhledávání: '"Mathew J. Crowley"'
Autor:
Elizabeth A. Kobe, Mathew J. Crowley, Amy Jeffreys, William S. Yancy, Jennifer Zervakis, David E. Edelman, Cynthia J. Coffman
Publikováno v:
Journal of Clinical and Translational Science, Vol 5, Pp 47-47 (2021)
ABSTRACT IMPACT: This is the first study to use QUINT analyses to examine heterogeneity of treatment effect for group medical visits among individuals with type 2 diabetes. QUINT is a data driven method that assumes no a priori assumptions regarding
Externí odkaz:
https://doaj.org/article/2c280fdf70c54dc6a45c5cae7d0f9788
Autor:
Mathew J. Crowley, Elizabeth A. Kobe, William S. Yancy, Cynthia J. Coffman, Jennifer Zervakis, David Edelman, Amy S. Jeffreys
Publikováno v:
Journal of Clinical and Translational Science. 5:47-47
IMPACT: This is the first study to use QUINT analyses to examine heterogeneity of treatment effect for group medical visits among individuals with type 2 diabetes. QUINT is a data driven method that assumes no a priori assumptions regarding effect mo