![]() Though an approximate reciprocal trend between the two hazard ratios is in indication that the same factor causing faster death also lead to slow recovery by a similar mechanism, and vice versa, a quantitative relation between csHR d and csHR r in this context is not obvious. log(csHR r) This relationship between OR and HR might be understood from the definition of the two quantities (2) csHR d and csHR r point in opposite directions: log(csHR d) We have the following three empirical observations concerning csHR d, csHR r and OR: (1) The magnitude of OR is an upper limit of the csHR d: | log(OR) | ≥ | log(csHR d)|. The eventual mortality/release outcome can also be analyzed by logistic regression to obtain odds-ratio (OR). COVID-19 survival data presents a special situation where not only the time-to-event period is short, but also the two events or outcome types, death and release from hospital, are mutually exclusive, leading to two cause-specific hazard ratios (csHR d and csHR r).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |