similar to: testing parallel slopes assumption for Ordinal Logistic Regression

Hi, ?? Are there any packages which prints out p-values for OLR's (like `ologit' from Stata)? I want to run a bunch of OLRs and print the p-value for the first coefficient from each of them. ? I checked polr() under MASS and it doesn't. ?There's a lrm() function under Design which does print out p-values but I couldn't extract p-values from the output. ? Thanks, ? Debs

Hi, Given that the R forum is mostly a site to discuss issues related to the language, are there any forums that discuss statistical issues? I am specifically interested in the statistical issues in experimental design. TIA, Anjan -- ============================= anjan purkayastha, phd bioinformatics analyst whitehead institute for biomedical research nine cambridge center cambridge, ma 02142

Dear list members, I am estimating an ordinal generalized estimating equations (GEE) regression model on repeated measurements data. Is there any way (preferably in R) to test the proportional odds assumption of this model? Thanks in advance. Andreas [[alternative HTML version deleted]]

Please forgive the cross posting. I sent this to Medstats and have not received any response. I am looking for a good written explanation of components of variance (a.k.a variance components), in particular as they are used in genetic analyses. Does anyone have a suggestion? I am interested in books, articles and on-line material. I intent to give the material to some of my students none of whom

This is just What I need, I get the new fglrx driver working with 3d accel, but I don't know how to configure the xorg.conf for this new driver because AIGLX it's supported and I need some help, I run fluxbox1.0 and kde-3.5.7, any help will be very thankfully appreciated, thanks a lot. NOTE: I don't use any official distribution, I run a LFS (Linux From Scratch ) Linux dist. olr ===

Dear UseRs: Recently, I have read an article regarding the association between age and lymph node metastases. http://jco.ascopubs.org/content/27/18/2931.long In statistical analysis, the authors stated "Because a nonlinear relationship between age and lymph node involvement was expected based on existing literature, lymph node involvement was also regressed on age using nonparametric

Hi, Suppose a binomial GLM with both continuous as well as categorical predictors (sometimes referred to as GLM-ANCOVA, if I remember correctly). For the categorical predictors = indicator variables, is then there a suggested minimum frequency of each level ? Would such a rule/ recommendation be dependent on the y-side too ? Example: N is quite large, a bit > 100. Observed however are

Dear all, I have been using the lrm function in R to run an ordinal logistic regression and I am a bit confused about the methods for checking the model assumptions. I have produced residual plots in R of the score.binary type which I think look ok. However, the partial type plots show bell shaped patterns and have crossing lines, indicating violation of parallelism. However, I noticed

Hi All, I am trying to import a .sas7bdat file into R. I tried using Hmisc package's sasxport.get() function. temp <- sasxport.get("path\abcd.sas7bdat") I get an error that says "Error in lookup.xport(file) : file not in SAS transfer format" I am not familiar with SAS transfer format. Could somebody please clarify what is it that I am missing, Thanks for your

Hi @ all, I hope for some help of you. I have a dataframe and I want to regroup it. examp4.csv <http://r.789695.n4.nabble.com/file/n4648927/examp4.csv> I need the arguments of "VAL" as table heads and the "TYPE " only in individual expression. The result should look like in the example pic. exp4.png <http://r.789695.n4.nabble.com/file/n4648927/exp4.png> I

This message was also sent to the MEDSTATS mailing list, so here is the reply I posted to that: Philippe, The machinery to use is to split follow-up time so finely that you can safely assume that rates are constant in each interval, and then just stuff it all into a Poisson model. This allows you to use any kind of time-dependent variables as well as accommodating competing risks. In the Epi

Another newbie question.... I want to create a factor (say cT)from a numerical variable (sy temp) by regrouping the values in classes (say cT <390, [390,400[,[400,409[...>=550) Is there a simple way of doing that using the factor function? AND I do not find how to manipulate strings (I want to concatenete characters strings ("abkdas","chjw") into something like

Thanks for reporting the bug below. You''re absolutely right. Renamed Range#to_s implementation to #mocha_inspect and checked first and last respond_to?(:to_f) as you suggested. Sorry for the delay - I wasn''t monitoring the rubyforge trackers. I am now! Should be fixed in revision 99 of trunk. -- James. http://blog.floehopper.org ---------- Forwarded message ---------- From:

To the list: What R commands will perform the score test on an ordered multinomial logit model to evaluate the proportional odds assumption? Many thanks. Mtichell Wachtel [[alternative HTML version deleted]]

I would like to test the parallel regression assumption for an ordered logistic regression model using either a score/LM test, or preferably, a Wald/Brant test. I have been unable to find an R function (either in the base or in a package available on cran) that performs either of these tests. Does one exist that I am overlooking or is there code available elsewhere to do this? As background, I

Hi, All! This is a patch which needs discussion. Currently xc_tbuf_enable assumed tb_init_done = 0. But Sometimes already on For example(xenmon.py(xenbaked) and xentrace). These two programs assues tb_init_done =0 at start time. Currently xenbaked care the problem by setting tb_init_done=0 at exit time. But xentrace does not care the problem. Then error occured!(Cannot see the trace

I am trying to run a Cox regression (coxph) to predict survival after surgery and xray therapy. The model violates the proportionality assumption (tested using time-dependent covariates). I have tried to use strata to solve the problem but the stratified model still violates the assumption. Does the violation of proportionality preclude use of a Kaplan-Meier analysis? Is there any other possible

Dear Douglas and R-help, Does lme assume normal distribution AND equal variance among groups like anova() does? If it does, is there any method like unequal variance T-test (Welch T) in lme when each group has unequal variance in my data? Thanks, Shirley

Author: sommerfe Repository: /hg/zfs-crypto/gate Revision: 262ad2e7d124ee605cafda82de97b85e3c210dda Log message: 6339712 mistaken assumption that (ipsec_mp != NULL) implies packet was ipsec protected trips assert Files: update: usr/src/uts/common/inet/ip/spd.c

Hello list we encounter a weird SSL issue with one of our dovecot (2.2.24 on Centos6) which we can only explain if our assumtion is correct :-) Symptoms are that imaps connections (on port 993) suddenly get veeeery slow. Up to 180s for one connection with openssl s_client The thing we do not understand is that in the same time imap connections with starttls are just 1s. We can see that entropy on