Displaying 20 results from an estimated 2000 matches similar to: "stratified variables in a cox regression"
2009 Mar 14
1
obtaining the values for the hazard function in a cox regression
Hello ,
I am hoping for some advice regarding obtaining the values for the
hazard function in a cox regression that I have undertaken. I have a
model in the following form, analysed with the package survival (v.
2.34-1) and a log-log plot obtained using Design (v. 2.1-2).
For two variables, the lines in the survival curves crossed. The
statistician I been obtaining advice from (who does not
2009 Apr 25
3
Nomogram with stratified cph in Design package
Hello,
I am using Dr. Harrell's design package to make a nomogram. I was able to
make a beautiful one without stratifying, however, I will need to stratify
to meet PH assumptions. This is where I go wrong, but I'm not sure where.
Non-Stratified Nomogram:
2007 Sep 06
3
Survey package
Good afternoon!
I'm trying to use the Survey package for a stratified sample which has 4 criteria on which the stratification is based. I would like to get the corrected weights and for every element i get a weight of 1
E.g: tipping
design <- svydesign (id=~1, strata= ~regiune + size_loc + age_rec_hhh + size_hh, data= tabel)
and then weights(design)
gives
2010 Apr 27
1
Randomization for block random clinical trials
Hi,
I’m new to R (just installed today) and I’m trying to figure out how to do
stratified randomisation using it. My google search expedition has lead me
to believe that blockrand package will most probably be the answer to it.
I’ve played around with blockrand for awhile and tried the sample code:
library(blockrand)
##stratified by sex
male <- blockrand(n=100,
2009 Mar 16
0
hazard function in a Cox model
-- begin included message ---
I am hoping for some advice regarding obtaining the values for the
hazard function in a cox regression that I have undertaken. I have a
model in the following form, analysed with the package survival (v.
2.34-1) and a log-log plot obtained using Design (v. 2.1-2).
For two variables, the lines in the survival curves crossed. The
statistician I been obtaining
2007 May 17
1
Stratified Cox proportional Hazard Model
Hello everyone,
I am a new user of R. Does anybody know how hazard ratios are extracted
for each factor level in a stratified Cox proportional hazard
regression model? I have a cancer data set where the variable
?differentiation? is a factor with three levels: poor, intermediate and
good. I would like to extract the hazard ratio for each grade level and
relate it to another prognostic factor.
2011 Mar 10
1
ANOVA for stratified cox regression
This is a follow-up to a query that was posted regarding some problems that
emerge when running anova analyses for cox models, posted by Mathias Gondan:
Matthias Gondan wrote:
>* Dear List,*>**>* I have tried a stratified Cox Regression, it is working fine, except for*>* the "Anova"-Tests:*>**>* Here the commands (should work out of the box):*>**>*
2008 Jan 15
1
Anova for stratified Cox regression
Dear List,
I have tried a stratified Cox Regression, it is working fine, except for
the "Anova"-Tests:
Here the commands (should work out of the box):
library(survival)
d = colon[colon$etype==2, ]
m = coxph(Surv(time, status) ~ strata(sex) + rx, data=d)
summary(m)
# Printout ok
anova(m, test='Chisq')
This is the output of the anova command:
> Analysis of Deviance Table
2008 Dec 11
1
How to generate a prediction equation for a stratified survival model that was fitted by cph() in Design package
Dear all,
I used cph() function from Frank harrell's Design package to create a
survival model, then used functions 'Function' and 'sascode' to generate
prediction equation based on the saved survival model. But it failed. I
included a stratified variable in the model. If I removed the
stratification, they were working well. Does that mean that function
'Function'
2010 Apr 04
2
calculating an interaction statistic from stratified data
Dear R community,
I have data on beta&standard error (for the main effect of variable x),
stratified by sex for my dataset. I wish to calculate the sex-interaction
effect (as beta&se) from these two stratified datasets. Is there a package
to do this? If not, any advice how to do it manually?
Thank you very much and best regards, Georg.
************************
Georg Ehret, JHU,
2005 May 26
1
Survey and Stratification
Dear WizaRds,
Working through sampling theory, I tried to comprehend the concept of
stratification and apply it with Survey to a small example. My question
is more of theoretic nature, so I apologize if this does not fully fit
this board's intention, but I have come to a complete stop in my efforts
and need an expert to help me along. Please help:
age<-matrix(c(rep(1,5), rep(2,3),
2005 Aug 28
2
stratified Wilcoxon available?
Dear All,
is there a stratified version of the Wilcoxon test (also known as van
Elteren test) available in R?
I could find it in the survdiff function of the survival package for
censored data. I think, it should be possible to use this function creating
a dummy censoring indicator and setting it to not censored, but may be
there is a better way to perform the test.
Thanks,
Heinz T??chler
2009 Jul 09
3
Stratified data summaries
Hi All,
I'm trying to automate a data summary using summary or describe from the
HMisc package. I want to stratify my data set by patient_type. I was
hoping to do something like:
Describe(myDataFrame ~ patient_type)
I can create data subsets and run the describe function one at a time,
but there's got to be a better way. Any suggestions?
Rachel
[[alternative HTML
2009 Jun 18
1
Stratified random sampling?
Rers:
What is the preferred library/function for doing stratified random
sampling from a dataset, given I want to control the number of samples
(rather than the proportion of samples) per strata? Thanks!
--j
--
Jonathan A. Greenberg, PhD
Postdoctoral Scholar
Center for Spatial Technologies and Remote Sensing (CSTARS)
University of California, Davis
One Shields Avenue
The Barn, Room
2004 Jun 08
0
bootstrap: stratified resampling
Dear All,
I was writing a small wrapper to bootstrap a classification algorithm, but if
we generate the indices in the "usual way" as:
bootindex <- sample(index, N, replace = TRUE)
there is a non-zero probability that all the samples belong to only
one class, thus leading to problems in the fitting (or that some classes will
end up with only one sample, which will be a problem
2001 Nov 01
1
Stratified study.
Hello,
I am analyzing the results of a survey of the student body on the use of
certain technologies. The student body was divided in strata according to
two criteria, college and user class. The resulting 24 strata were sampled.
Subjects filled out a survey with a number of questions, most of them of
the yes-no variety. I created a data.frame with the results for the survey.
One row for
2010 Jul 06
1
xyplot: filtering out empty plots
Hello,
I would like to know how I can filter out empty plots in xyplot, when
stratifying on some variables.
Example:
I have a dataset in which I plot CONC ~ TIME, stratified for patient
ID(1,2,..,100), FORM(1,2) and BOOST (1,2).
Some patients (ID's) do not have values for all stratification
conditions. I.e. one patient may have values for FORM=1 and BOOST=1,2,
while others may have data on
2006 Mar 24
1
Clustering over strata using a Cox proportional hazard model
Hi all,
I wish to do build discrete choice model to analyse habitat selection of
wolverines.
This can be done with a 'tricked' stratified Cox proportional hazard
model.
For each individual animal each selected position, and possible
alternative non-used available positions are combined into strata.
This means that one stratum contains a set of 1 used position and
several positions which
2005 Mar 25
3
Stratified bootstrap question
Dear experts,
I am asking for help with a question regarding to stratified bootstrap.
My dataset is a longitudinal dataset (3 measurements per person at year
1, 4 and 7) composed of multiple clinic centers and multiple participants
within each clinic. It has missing values.
I want to do a bootstrap to find the standard errors and confidence
intervals for my variance components. My model is a
2012 Jun 01
1
Stratified Sampling with randomForest Regression
Hi All,
I'm using R's randomForest package (and it's quite awesome!) but I'd
really like to do some stratified sampling with a regression problem.
However, it appears that the package was designed to only accommodate
stratified sampling for classification purposes (see
https://stat.ethz.ch/pipermail/r-help/2006-November/117477.html). As
Andy suggests in the link just