Dear AllI am new to R, I am struggling to figure out and resolve warning.I
have fitted a joint model for survival and longitudinal data using the "JM"
library using the syntax below.
# Longitudinal submodellmeFit.p1_constr <- lme(sqrtcd4wk ~ cd4tpt +
pred:cd4tpt, data = cd4long_constr, random = ~cd4tpt|id1,
na.action = na.omit)
# Survival submodel for constrictionsurvFit.p1Constr <-
coxph(Surv(surv6mon_constr, var6mon_constr) ~ pred, data = surv_full_constr, x
= TRUE)
# Joint model for constrictionjointFit.p1Constr <- jointModel(lmeFit.p1_constr,
survFit.p1Constr, timeVar = "cd4tpt", method =
"piecewise-PH-aGH")summary(jointFit.p1Constr)
I am able to get my desired results i.e. estimates and 95% C.I. I am however
not able to calculate Martingale residuals from the event process submodel
using the following syntax despite being able to calculate Cox-Snell residuals
using the following syntax
resMartT <- residuals(jointFit.p1Constr, process = "Event", type = "Martingale")
#resMartT<-resid(survFit.p1Constr,type='martingale')fitSubY <-
fitted(jointFit.p1Constr, process = "Longitudinal", type =
"EventTime")plot(fitSubY, resMartT, xlab = "Fitted Values", ylab =
"Residuals",main = "Martingale Residuals vs Fitted Values")
I get a warning : Warning message: In events - fits : longer object length is
not a multiple of shorter object length
# Cox-Snell residualsresCST <- residuals(jointFit.p1Constr, process = "Event",
type = "CoxSnell")
sfit <- survfit(Surv(resCST, var6mon_constr) ~ 1, data =
surv_full_constr)plot(sfit, mark.time = FALSE, conf.int = TRUE, lty = 1:2, xlab
= "Cox-Snell Residuals", ylab = "Survival Probability", main = "Survival
Function of Cox-Snell Residuals")curve(exp(-x), from = 0, to =
max(surv_full_constr$var6mon_constr), add = TRUE, col = "red", lwd = 2)
I will appreciate any assistance rendered
ThanksIsaac
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