Timeline for Test Cox proportional hazard assumption (Bad Schoenfeld residuals)
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
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| Nov 11, 2014 at 17:11 | comment | added | Zhubarb |
@miura, thank you for the code you provided for assessing PH model validity for categorical variables. Do you have a suggestion for assessing it for continuous variables as well? I currently do: plot(cox.zph(model))
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| Jan 28, 2014 at 13:40 | comment | added | E_J |
Adding survplot(myfit, loglog=T, logt=T) could make the graph even more interpretable. As always UCLA have a lot of info on this, including other aspects of checking the proportional hazard assumption:[ats.ucla.edu/stat/examples/asa/test_proportionality.htm]
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| Jun 7, 2013 at 21:55 | vote | accept | Marcel | ||
| Jun 7, 2013 at 9:16 | history | edited | Nick Cox | CC BY-SA 3.0 |
edited body
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| Jun 7, 2013 at 9:08 | comment | added | Marcel | thanks! As I'm reading this book already (also right now) you encouraged me with my literature decision. | |
| Jun 7, 2013 at 9:00 | history | answered | miura | CC BY-SA 3.0 |