Thanks Michael.
I have read the original article and I guess whether the following formula
could resolve my question?
*for adjusted HR of each BMI category,*
fit-coxph(Surv~factor(BMI-category)+..+covariates)
*for trend, *
fit-coxph(Surv~as.numeric(BMI-category)+..+covariates)
*# p trend may be
Thanks peter.
*Yao Zhu*
*Department of UrologyFudan University Shanghai Cancer CenterShanghai,
China*
2014/1/5 peter dalgaard pda...@gmail.com
On 04 Jan 2014, at 13:56 , zhu yao mailzhu...@gmail.com wrote:
Thanks for the suggestion.
The results is presented in following table. The
On 1/4/2014 12:39 AM, zhu yao wrote:
Dear Sir
Many papers calculated the p value of trends for odds ratios of ordered
category variables. I have found the tabodds command in Stata. But how to
do it in R?
Thanks
*Yao Zhu*
If what you are looking at is a 2 x 2 x k table, where you want the odds
On 04.01.2014 06:39, zhu yao wrote:
Dear Sir
Many papers calculated the p value of trends for odds ratios of ordered
category variables. I have found the tabodds command in Stata. But how to
do it in R?
Depends on the method you want to use ... and most ladies and gents on
this list won't
On 04 Jan 2014, at 12:53 , Uwe Ligges lig...@statistik.tu-dortmund.de wrote:
On 04.01.2014 06:39, zhu yao wrote:
Dear Sir
Many papers calculated the p value of trends for odds ratios of ordered
category variables. I have found the tabodds command in Stata. But how to
do it in R?
On 04 Jan 2014, at 13:56 , zhu yao mailzhu...@gmail.com wrote:
Thanks for the suggestion.
The results is presented in following table. The authors calculated p value
for linearity and trend and they stated in the methods:
Linear and nonlinear trends of BMI associated with each mortality
Dear Sir
Many papers calculated the p value of trends for odds ratios of ordered
category variables. I have found the tabodds command in Stata. But how to
do it in R?
Thanks
*Yao Zhu*
*Department of UrologyFudan University Shanghai Cancer CenterShanghai,
China*
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