FreqSurv_HReg {SemiCompRisks} | R Documentation |
Independent univariate right-censored survival data can be analyzed using hierarchical models.
FreqSurv_HReg(Formula, data, na.action = "na.fail", subset=NULL)
Formula |
a |
data |
a data.frame in which to interpret the variables named in |
na.action |
how NAs are treated. See |
subset |
a specification of the rows to be used: defaults to all rows. See |
See BayesSurv_HReg
for a detailed description of the models.
FreqSurv_HReg
returns an object of class Freq_HReg
.
Sebastien Haneuse and Kyu Ha Lee
Maintainer: Kyu Ha Lee <klee15239@gmail.com>
Lee, K. H., Haneuse, S., Schrag, D., and Dominici, F. (2015),
Bayesian semiparametric analysis of semicompeting risks data:
investigating hospital readmission after a pancreatic cancer diagnosis, Journal of the Royal Statistical Society: Series C, 64, 2, 253-273.
Alvares, D., Haneuse, S., Lee, C., Lee, K. H. (2018+),
SemiCompRisks: an R package for independent and cluster-correlated analyses of semi-competing risks data, submitted, arXiv:1801.03567.
print.Freq_HReg
, summary.Freq_HReg
, predict.Freq_HReg
, BayesSurv_HReg
.
## Not run: # loading a data set data(survData) form <- Formula(time + event ~ cov1 + cov2) fit_WB <- FreqSurv_HReg(form, data=survData) fit_WB summ.fit_WB <- summary(fit_WB); names(summ.fit_WB) summ.fit_WB pred_WB <- predict(fit_WB, tseq=seq(from=0, to=30, by=5)) plot(pred_WB, plot.est="Haz") plot(pred_WB, plot.est="Surv") ## End(Not run)