Hi There
I was performing a cox proportional model for a cancer study in SPSS and I had this output where
the Exp(B) was 0.0000064 and the CI 0 to 3.69E+51 ; p= 1
How would I report this
Thank you so much
Your description of the problem and the output of the Cox proportional model are both very confusing.
If the reported value Exp(B) = 0.00000064
Let's start with the CI(0,3.69 x 10^51)this is roughly every positive number your computer can hold. That's why p=1. There is absolutely nothing left outside your CI. This can't be right. I am attaching a recent study that we did to show you what one looks like. State your research question, Show some of your data, and give your program. Hopefully it is not SPSS using the point and click GUI. You can tell nothing from that. show some of the censoring. If you give us the question and some of the data we can make a run,most likely in R and see if we can either find the problem or show you what to do. I am attaching 2 recent papers one a Cox regression study that was just published and a cancer risk factor study using logistic regression that is under review.. You will be able to see that if you have survival data(time to an event and a censoring variable to show how far they got toward the end before they succombed. you will further see that this looks nothing like the logistic runs. Further there are useful references in the papers. Do this then report back and we'll take another try. Best wishes, David Booth
Hi,
As well dicribed by Alexander Kolker , we firstly check the PH Cox assumptions ( log-linearity, PH, time dependent coefficients or hazard functions); rest for your beta, is it for a dummy or continuos variable? if it's for a dummy variable, we can say there is no differnce of risk of event (death, remission,...) between the two groups, if it's a continuos one we say there is no effect of this variable on risk death so on survival time.
Best luck
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