Displaying 20 results from an estimated 8000 matches similar to: "Help with Conditional Logit"
2008 Aug 31
1
Fitted probabilities in conditional logit regression
Dear R-help,
I'm doing conditional logit regression for a discrete choice model.
I want to know whether there's a way to get the fitted probabilities. In
Stata, "predict" works for clogit, but it seems that in R "predict" does
not.
Thank you very much!
Best wishes.
Sincerely,
Min
--
Min Chen
Graduate Student
Department of Agricultural,
2003 Jan 29
3
multinomial conditional logit models
A multinomial logit model can be specified as a conditional logit
model after restructuring the data. Doing so gives flexibility in
imposing restrictions on the dependent variable. One application is
to specify a loglinear model for square tables, e.g. quasi-symmetry
or quasi-independence, as a multinomial logit model with covariates.
Further details on this technique and examples with several
2009 Dec 02
2
Error when running Conditional Logit Model
Dear R-helpers,
I am very new to R and trying to run the conditional logit model using
"clogit " command.
I have more than 4000 observations in my dataset and try to predict the
dependent variable from 14 independent variables. My command is as follows
clmtest1 <-
clogit(Pin~Income+Bus+Pop+Urbpro+Health+Student+Grad+NE+NW+NCC+SCC+CH+SE+MRD+strata(IDD),data=clmdata)
However, it
2017 Nov 13
1
Bootstrap analysis from a conditional logistic regression
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Hello
How can I perform
2006 Dec 12
1
Calculating AICc using conditional logistic regression
I have a case-control study that I'm analysing using the conditional
logistic regression function clogit from the survival package.
I would like to calculate the AICc of the models I fit using clogit.
I have a variety of scripts that can calculate AICc for models with a
logLik method, but clogit does not appear to use this method.
Is there a way I can calculate AICc from clogit in R?
Many
2011 Dec 12
1
k-folds cross validation with conditional logistic
--begin inclusion --
I have a matched-case control dataset that I'm using conditional
logistic regression (clogit in survival) to analyze. I'm trying to
conduct k-folds cross validation on my top models but all of the
packages I can find (CVbinary in DAAG, KVX) won't work with clogit
models. Is there any easy way to do this in R?
-end inclusion --
The clogit funciton is simply a
2002 Dec 10
3
clogit and general conditional logistic regression
Can someone clarify what I cannot make out from the
documentation?
The function 'clogit' in the 'survival' package is
described as performing a "conditional logistic regression".
Its return value is stated to be "an object of class clogit
which is a wrapper for a coxph object."
This suggests that its usefulness is confined to the sort of
data which arise in
2005 Nov 21
2
Multinomial Nested Logit package in R?
Dear R-Help,
I'm hoping to find a Multinomial Nested Logit package in R. It would
be great to find something analogous to "PROC MDC" in SAS:
> The MDC (Multinomial Discrete Choice) procedure analyzes models
> where the
> choice set consists of multiple alternatives. This procedure
> supports conditional logit,
> mixed logit, heteroscedastic extreme value,
2003 Jan 22
1
something wrong when using pspline in clogit?
Dear R users:
I am not entirely convinced that clogit gives me the correct result when I
use pspline() and maybe you could help correct me here.
When I add a constant to my covariate I expect only the intercept to change,
but not the coefficients. This is true (in clogit) when I assume a linear in
the logit model, but the same does not happen when I use pspline().
If I did something similar
2010 Apr 20
1
Results from clogit out of range?
Hi,
I'm calculating a conditional logit on some data stratified by group.
My understanding was that a conditional logit by definition returns a
value between 0 and 1 a a probability. Can anyone suggest why I'm
seeing results outside of the {0,1} range??
The call in R is:
m <- clogit(score ~ val_1 + val_2 + strata(group), data=data)
Then
prediction <- predict(m,newdata)
A
2012 Feb 17
3
stepwise selection for conditional logistic regression
Hi,
Is there any function available to do stepwise selection of variables in Conditional(matched) logistic regression( clogit)? step, stepwise etc are failing in case of conditional logistic regression. Please help.
Thanks
P.T. Subha
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2007 May 31
1
Conditional logistic regression for "events/trials" format
Dear R users,
I have a large individual-level dataset (~700,000 records) which I am
performing a conditional logistic regression on. Key variables include
the dichotomous outcome, dichotomous exposure, and the stratum to which
each person belongs.
Using this individual-level dataset I can successfully use clogit to
create the model I want. However reading this large .csv file into R and
running
2011 Nov 07
2
help with formula for clogit
I would like to know if clogit function can be used as below
clogit(group~., data=dataframe)
When I try to use in above format it takes a long time, I would appreciate
some pointers to get multiple combinations tested.
set.seed(100)
d=data.frame(x=rnorm(20)+5,
x1=rnorm(20)+5,
x2=rnorm(20)+5,
x3=rnorm(20)+5,
x4=rnorm(20)+5,
x5=rnorm(20)+5,
x6=rnorm(20)+5,
x7=rnorm(20)+5,
x8=rnorm(20)+5,
2006 Mar 23
2
clogit question
Hi,
I am playing with
clogit(case~spontaneous+induced+strata(stratum),data=infert)
from clogit help file.
This line works.
1. But, why strata(stratum) doesn't have a coefficient like spontaneous
and induced?
2. When I remove strata(stratum) from the command, this function seems
to keep running forever. Why?
3. I think the equation for clogit looks like
P=1/(1+
2005 Apr 15
2
children of objects are not instantiated?
Hello,
I''m a Java developer and I''m looking at Rails as a very interesting thing.
I read the article
http://theserverside.com/articles/article.tss?l=RailsHibernate
and saw a couple of things that I didn''t like too much:
1) The N+1 problem
This has been discussed in the thread (or should I say "flame"?) "Java
people want to beat us". It seems
2011 Dec 21
1
Processing time on clogit
Hi All,
I'm trying to run a conditional logistic regression in R (2.14.0) using
clogit from the survival package. The dataset I have is relatively small
(300 observations) with 25 matched strata- there are roughly 2 controls for
each case, and some strata have multiple case/control groups. When I try to
fit a very simple model with a binary outcome and a single continuous
exposure R seems to
2003 Aug 15
2
Error in model.frame
I am getting an error that I don't understand, and wonder if anyone
could explain what's going on. I call a function defined thus:
clogit.rds<-function(formula,data,extra.data,response.prob,
na.action=getOption("na.action"),subset=NULL,
control=coxph.control()){
method="exact" # only option for now
mf<-match.call()
2006 Jul 29
0
Help with clogit in survival - conditional logistic regression
Dear All:
I have been struggling to run the conditional logistic regression on a
dataset. I am using clogit function in survival package. Here is how the
data is generated. I tried to shorted the data by using the second count
variable but still the clogit did not run. Why I am not able to run clogit
on my dataset. I appreciate any input.
Regards,
Ashraf
age <- c(rep(0,8),rep(1,8))
scc <-
2006 Nov 25
1
hausman Test
Does anyone know how to do an Hausman test?
I?ve estimate a modell (some alternatives) with clogit an wanted to test the
IIA test (Independence of Irrelevant
Alternatives) after estimating a multinomial logit model?
Thank you
2003 May 14
1
mcl models, percentages
I've put two packages for R on my home page at
http://www.xs4all.nl/~jhckx/R/. The "pcnt" package is for multiway
percentage tables. I've posted a first effort called "ctab" on this
group and a request for enhancing "ftable" with percentages on the
wishlist.
The "mcl" package is for estimating multinomial logistic models using
conditional logistic