{bootstrap ranks;ranking;nonstandard bootstrap
inference;rank inference;slow convergence rate;smooth ranks in the
presence of near ties;rank inference for fixed effects risk adjustment
models}
}
-Original Message-
From: r-help-boun...@r-project.org
[mailto:r-help-boun...@r-proj
-boun...@r-project.org] On
Behalf Of Frank E Harrell Jr
Sent: Tuesday, March 30, 2010 3:57 PM
To: Michal Figurski
Cc: r-help@r-project.org
Subject: Re: [R] Problem comparing hazard ratios
Michal Figurski wrote:
Dear R-Helpers,
I am a novice in survival analysis. I have the following code:
for (i in 3
-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Frank E Harrell Jr
Sent: Tuesday, March 30, 2010 3:57 PM
To: Michal Figurski
Cc: r-help@r-project.org
Subject: Re: [R] Problem comparing hazard ratios
Michal Figurski wrote:
> Dear R-Helpers,
>
> I am a novice in survival analysis. I
Thank you, gentlemen.
I greatly appreciate your help.
--
Michal J. Figurski, PhD
HUP, Pathology & Laboratory Medicine
Biomarker Research Laboratory
3400 Spruce St. 7 Maloney
Philadelphia, PA 19104
tel. (215) 662-3413
__
R-help@r-project.org mailing li
On Mar 30, 2010, at 3:45 PM, Michal Figurski wrote:
Dear R-Helpers,
I am a novice in survival analysis. I have the following code:
for (i in 3:12) print(coxph(Surv(time, status)~a[,i], data=a))
I used it to fit the Cox Proportional Hazard models separately for
every available parameter (col
Michal Figurski wrote:
Dear R-Helpers,
I am a novice in survival analysis. I have the following code:
for (i in 3:12) print(coxph(Surv(time, status)~a[,i], data=a))
I used it to fit the Cox Proportional Hazard models separately for every
available parameter (columns 3:12) in my data set - with
Dear R-Helpers,
I am a novice in survival analysis. I have the following code:
for (i in 3:12) print(coxph(Surv(time, status)~a[,i], data=a))
I used it to fit the Cox Proportional Hazard models separately for every
available parameter (columns 3:12) in my data set - with intention to
compare t
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