View source: R/summary.mjoint.R
summary.mjoint | R Documentation |
mjoint
objectThis function provides a summary of an mjoint
object.
## S3 method for class 'mjoint' summary(object, bootSE = NULL, ...)
object |
an object inheriting from class |
bootSE |
an object inheriting from class |
... |
additional arguments; currently none are used. |
A list containing the coefficient matrices for the longitudinal and time-to-event sub-models; variance-covariance matrix for the random effects; residual error variances; log-likelihood of joint model; AIC and BIC statistics; and model fit objects.
Graeme L. Hickey (graemeleehickey@gmail.com)
Wulfsohn MS, Tsiatis AA. A joint model for survival and longitudinal data measured with error. Biometrics. 1997; 53(1): 330-339.
Henderson R, Diggle PJ, Dobson A. Joint modelling of longitudinal measurements and event time data. Biostatistics. 2000; 1(4): 465-480.
Lin H, McCulloch CE, Mayne ST. Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables. Stat Med. 2002; 21: 2369-2382.
mjoint
, mjoint.object
, and
summary
for the generic method description.
## Not run: # Fit a joint model with bivariate longitudinal outcomes data(heart.valve) hvd <- heart.valve[!is.na(heart.valve$log.grad) & !is.na(heart.valve$log.lvmi), ] fit2 <- mjoint( formLongFixed = list("grad" = log.grad ~ time + sex + hs, "lvmi" = log.lvmi ~ time + sex), formLongRandom = list("grad" = ~ 1 | num, "lvmi" = ~ time | num), formSurv = Surv(fuyrs, status) ~ age, data = list(hvd, hvd), inits = list("gamma" = c(0.11, 1.51, 0.80)), timeVar = "time", verbose = TRUE) summary(fit2) ## End(Not run)
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