search for: frail

Does someone know the rules by which 'coxph' returns 'frail', the predicted frailty terms? In my test function: ----------------------------------------------- fr <- function(){ #testing(frailty terms in 'survival' require(survival) dat <- data.frame(exit = 1:6, event = rep(1, 6), x = rep(c(0,...

..., #assign each to one of 10 groups surv=rnorm(100), #give them a survival time x=rnorm(100), # a predictor event=rep(1,100)) #everyone dies #--- run the cox model w/ random effects (frailty) and return the results m1.coxme <- coxme(Surv(d$surv, d$event) ~ d$x + (1|d$group)); m1.coxme #--- the estimated frailties for each of the 10 groups are reported under m1.coxme$frail #--- put these estimated frailty back in the data.frame # (or should I just do var(m1.coxme$frail$d.group) ?...

Hi: I have a few clarification questions about the elements returned by the coxph function used in conjuction with a frailty term. I create the following group variable: group <- NULL group[id<50] <- 1 group[id>=50 & id<100] <- 2 group[id>=100 & id<150] <- 3 group[id>=150 & id<200] <- 4 group[id>=200 & id<250] <- 5 group[id>=250 & id<300] <- 6...

...m(10, mean = 1, sd =2) mu <- rep(m, rep(10,10)) test1 <- data.frame(Time = qsurvreg(x, mean = mu, scale= 0.5, distribution = "weibull"), Status = rep(1, 100), Unit = gl(10,10) ) mod1 <- survreg(Surv(Time, Status) ~ 1 + frailty.gaussian(Unit), data = test1) > mod1 ... coef se(coef) se2 Chisq DF p (Intercept) 0.987 0.582 0.0457 2.87 1.00 9.0e-02 frailty.gaussian(Unit) 85.26 8.95 1.4e-14 Scale= 0.434 Iterations: 5 outer, 17 Newton-Raphson V...

...============================ > #!/usr/bin/perl > use strict; > > my %AGI; > : > print "EXEC Dial(DAHDI/g2/$AGI{dnid},,W)"; > ============================= > > When dialplan executes the AGI, asterisk throw the following error: "Dropping incompatible voice fraile on SIP/INCONCERT-00004796 of formar ulaw since our native format has changed to 0x8 (alaw)." > > And connection is never make. > > It's the code OK?, I'm newbie on asterisk, and really don't know what is going wrong. > > Regards, > > Gustavo

I'm doing a cox regression with frailty: model <- coxph(Surv(Start,Stop,Terminated)~ X + frailty(id),table) I understand that model$frail returns the group level frailty terms. Does this mean this is the average of the frailty values for the respective groups? Also, if I'm fitting it to a gamma frailty, how do I extract the...

Dear all, I would have some questions on the coxph function for survival analysis, which I use with frailty terms. My model is: mdcox<-coxph(Surv(time,censor)~ gender + age + frailty(area, dist='gauss'), data) I have a very large proportion of censored observations. - If I understand correctly, the function mdcox$frail will return the random effect estimated for each group on the scale o...

...an page but I must have done something wrong. I seem to be dancing around my target without hitting it. I'm ok on the permissions, just not sure about the group part of it. What is the proper way to accomplish this? -- Thanks for the assist, Todd E Thomas C: 515.778.6913 "It's a frail music knits the world together." -Robert Dana

...chines (the ou that biggie is added to) # BIGGIE$, machines, ptest.us dn: uid=BIGGIE$,ou=machines,dc=ptest,dc=us uid: BIGGIE$ objectClass: sambaSamAccount objectClass: account displayName: BIGGIE$ (biggie's ldap entry) -- Thanks for the assist, Todd E Thomas C: 515.778.6913 "It's a frail music knits the world together." -Robert Dana

I can't comment on frailtypack issues, but would like to mention that coxme will handle nested models, contrary to the statement below that "frailtypack is perhaps the only .... for nested survival data". To reprise the original post's model cgd.nfm <- coxme(Surv(Tstart, Tstop, Status) ~ Treatment +...

...99 0.114 -0.329 .. ..- attr(*, "names")= chr [1:5] "sexMALES" "lifedxmCONTROL" "lifedxmMAJOR" "sexMALES:lifedxmCONTROL" ... ..$ random:List of 1 .. ..$ famid: Named num 0.964 .. .. ..- attr(*, "names")= chr "Intercept" $ frail :List of 1 ..$ famid: Named num [1:97] -0.8144 -0.6222 -0.0979 0.5179 -0.5587 ... .. ..- attr(*, "names")= chr [1:97] "1" "2" "3" "4" ... $ penalty : num 22.6 $ loglik : Named num [1:3] -479 -467 -435 ..- attr(*, &...

...How can I use apply() in this regard? or is there any other way, a loop may be? to solve this issue. Please help. Thanks a million in advance, Dr Venkatesh Patel School of Biological Sciences University of Liverpool United Kingdom -- ? There can be miracles when you believe ?? Though hope is frail, it's hard to kill ? Who knows what miracles you can achieve when you believe ?? Somehow you will.. when you believe!! ? -- ? There can be miracles when you believe ?? Though hope is frail, it's hard to kill ? Who knows what miracles you can achieve when you believe ?? Somehow you will....

Hallo Andrew, thanks for the answer (for the hints in particular, I'm new on samba mailing list), I'm working on a fax server based on the original implamentation of Pedro Fraile you can read all the particular here: http://www.linuxgazette.com/issue79/fraile.html The goal of "my" fax server implementation: Users authentication via samba/winbind/pam Automatic creation of the mailbox for the users of the domain (only for internal use with smbfax... because for c...

...aparte estoy en segundo de psicologia y la estadistica que se da es muy muy basica como para usar R. >> >> Salutis. >> >> Renaud >> >> ----- >> Renaud de Stephanis >> 605 998195 >> >> > El 24 may 2017, a las 21:31, Eduardo Gonzalez Fraile <edugonfra en hotmail.com> escribió: >> > >> > >> > Dedicer tiene buena pinta. Es mas atractivo visualmente, pero aun no he conseguido que funcione bien en el mac. >> > >> > Creo que optaré por R Commander. Hay mas informacion de apoyo, mas libros...

Buenas noches, tengo que hacer un curso introductorio de R para mis alumnos de Psicología. Algo muy básico que les ayude a trabajar con estadísticos sencillos. Había pensado en darles R Comander. Me surge la duda de si existe alguna otra interfaz gráfica más novedosa o que pueda serme de más utilidad para mis intereses. Muchas gracias de antemano. Un saludo [[alternative HTML version

...les/statmedEN.html > > > Un Saludo, > -- > Miguel Ángel Rodríguez Muíños > Asesoramento en Informática > Dirección Xeral de Saúde Pública > Consellería de Sanidade > Xunta de Galicia > http://dxsp.sergas.es > > > > El 24/05/2017 a las 8:58, Eduardo Gonzalez Fraile escribió: > > > Buenas noches, > > > tengo que hacer un curso introductorio de R para mis alumnos de > Psicolog?a. Algo muy b?sico que les ayude a trabajar con estad?sticos > sencillos. > > > Hab?a pensado en darles R Comander. Me surge la duda de si existe alguna...

...liar mas de lo debido y deja el ordenador inutilizable... Soy profe de estadistic pero aparte estoy en segundo de psicologia y la estadistica que se da es muy muy basica como para usar R. Salutis. Renaud ----- Renaud de Stephanis 605 998195 > El 24 may 2017, a las 21:31, Eduardo Gonzalez Fraile <edugonfra en hotmail.com> escribió: > > > Dedicer tiene buena pinta. Es mas atractivo visualmente, pero aun no he conseguido que funcione bien en el mac. > > Creo que optaré por R Commander. Hay mas informacion de apoyo, mas libros al respecto y en castellano. > > G...

...ón Xeral de Saúde Pública > > > >> Consellería de Sanidade > > > >> Xunta de Galicia > > > >> http://dxsp.sergas.es > > > >> > > > >> > > > >> > > > >> El 24/05/2017 a las 8:58, Eduardo Gonzalez Fraile escribió: > > > >> > > > >> > > > >> Buenas noches, > > > >> > > > >> > > > >> tengo que hacer un curso introductorio de R para mis alumnos de > > > >> Psicolog?a. Algo muy b?sico que les ayude...

Hallo Everyone, Please answer to: http://lists.samba.org/pipermail/samba/2002-November/084692.html Thanks a lot in advance, Gianluigi Di Vaio

Dear R users, I'm trying to fit a gamma-frailty model on a simulated dataset, with 6 covariates, and I'm running into some results I do not understand. I constructed an example from my simulation code, where I fit a coxph model without frailty (M1) and with frailty (M2) on a number of data samples with a varying degree of heterogeneity (I...