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I recently discussed1 some common difficulties with employing continuous outcomes and how established conversion methods might help. Space limits precluded some worthwhile considerations, and I highlight a few here.
Although continuous outcomes carry certain inferential considerations,1 this is not an insurmountable ‘problem’ per se. An estimated proportion of people who will achieve some degree of effect may seem easier to understand. However, one must respect: (1) what such estimation entails when the underlying data are continuous, and (2) that continuous data are not just irrelevant or inapplicable; they may just require additional effort …
Footnotes
Contributors MM is the sole author.
Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.
Competing interests None.
Provenance and peer review Not commissioned; internally peer reviewed.
Author note References 3, 4 and 5 can be found as abridged versions at https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD005328.pub3/detailed-comment/en?messageId=173593468 (abridged comment), https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD005328.pub3/detailed-comment/en?messageId=192922758 (abridged comment) and https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD005328.pub3/detailed-comment/en?messageId=197353704 (abridged comment), respectively.