Timeline for Inverse probability weighting for right censored data in cox regression
Current License: CC BY-SA 4.0
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| Feb 12 at 13:42 | vote | accept | a.henrietty | ||
| Sep 3, 2023 at 12:00 | comment | added | Frank Harrell | Using a cutoff will make the result uninterpretable and non-reproducible as such cutoffs don't exist in nature (true discontinuities don't exist other than ones mandated by law such as getting national health insurance in the US when you finally turn 65). Much has been written about this. | |
| Sep 3, 2023 at 8:05 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| May 1, 2023 at 17:03 | history | bumped | CommunityBot | This question has answers that may be good or bad; the system has marked it active so that they can be reviewed. | |
| Jun 7, 2022 at 14:32 | answer | added | EdM | timeline score: 1 | |
| Jun 6, 2022 at 14:48 | comment | added | a.henrietty | I posted an edit to answer your questions, @EdM. Regarding the cut-off, there is indeed a continous measure but using this would miss the point of the question and theory behind it. | |
| Jun 6, 2022 at 14:46 | history | edited | a.henrietty | CC BY-SA 4.0 |
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| Jun 6, 2022 at 14:42 | comment | added | EdM |
How many cases total, how many had the disease outcome, and how many were censored? Is there some continuous measure underlying the "binary cutoff"? Please provide the information by editing the question, as comments are easy to overlook and can be deleted.
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| Jun 6, 2022 at 11:41 | comment | added | a.henrietty | As I think I did not formulate my question comprehensively enough, I posted an improved version of the question, @EdM, | |
| Jun 6, 2022 at 2:39 | history | edited | kjetil b halvorsen♦ | CC BY-SA 4.0 |
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| Jun 5, 2022 at 19:07 | history | edited | a.henrietty | CC BY-SA 4.0 |
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| Jun 5, 2022 at 19:00 | history | edited | a.henrietty | CC BY-SA 4.0 |
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| Jun 5, 2022 at 18:54 | history | edited | a.henrietty | CC BY-SA 4.0 |
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| Jun 5, 2022 at 18:49 | history | edited | a.henrietty | CC BY-SA 4.0 |
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| Jun 5, 2022 at 18:34 | comment | added | a.henrietty | Thank you for your comment, @EdM. Times to death are unknown. I performed another cox regression to assess whether the score predicted censoring, but it did not. | |
| Jun 5, 2022 at 18:31 | history | edited | a.henrietty |
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| Jun 5, 2022 at 17:58 | comment | added | EdM |
Do you know about times to death so that you could model death as a true competing risk? Was there an association of other censoring with the baseline score? Also, I'd suggest that you replace one of your tags (probably simulation) with the propensity-scores tag, to attract the attention of some experts on that. Although usually thought of in terms of propensity of receiving a treatment, that would typically be involved in accounting for censoring too.
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| Jun 5, 2022 at 17:05 | history | asked | a.henrietty | CC BY-SA 4.0 |