Description Usage Arguments Details Value Note Author(s) References See Also Examples
This function displays the state entry and exit time distributions at time t. The function also displays the corresponding variance estimates if the user requests them.
1 |
object |
A msSurv object. |
t |
The time to find state entry/exit distributions. Default is "last" which is the highest (or "last") event time. |
deci |
Numeric argument specifying number of decimal places for estimates. Default is 4. |
var |
Logical argument to determine if the variance is displayed. Default is FALSE. If variance estimates are NULL, an error message will print. |
norm |
Logical argument to determine whether normalized or non-normalized (subdistribution) functions are displayed. Default is normalized distributions. |
Display of the state entry and exit time distributions and corresponding variance for multistate models at each state in the system where computation makes sense.
Returns (invisibly) a list consisting of the state entry / exit
distributions (either entry.norm
and exit.norm
or
entry.sub
and exit.sub
), and (optionally) the variance
estimates (either entry.var.norm
and exit.var.norm
or
entry.var.sub
and exit.var.sub
).
State entry distributions (and corresponding variance estimates) are displayed for all states where entry into the state occurs. State exit distributions (and corresponding variance estimates) are displayed for all states where exit from the state occurs.
Nicole Ferguson <nicole.ferguson@kennesaw.edu>, Guy Brock <guy.brock@louisville.edu>, Somnath Datta <somnath.datta@louisville.edu>
Nicole Ferguson, Somnath Datta, Guy Brock (2012). msSurv: An R Package for Nonparametric Estimation of Multistate Models. Journal of Statistical Software, 50(14), 1-24. URL http://www.jstatsoft.org/v50/i14/.
Datta, S. and Satten G.A. (2001). Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models. Statistics and Probability Letters, 55(4): 403-411.
Datta S, Satten GA (2002). Estimation of Integrated Transition Hazards and Stage Occupation Probabilities for Non-Markov Systems under Dependent Censoring. Biometrics, 58(4), 792-802.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ## Row elements of data
p1 <- c(1,0,0.21,1,3)
p2 <- c(2,0,0.799,1,2)
p22 <- c(2,0.799,1.577,2,3)
p3 <- c(3,0,0.199,1,0)
## Combining data into a matrix
ex1 <- rbind(p1,p2,p22,p3)
colnames(ex1) <- c("id", "start", "stop", "start.stage", "end.stage")
ex1 <- data.frame(id=ex1[,1], start=ex1[,2], stop=ex1[,3],
start.stage=ex1[,4], end.stage=ex1[,5])
## Inputting nodes & edges of the tree structure
Nodes <- c("1","2","3") # states in MSM
Edges <- list("1"=list(edges=c("2","3")),"2"=list(edges=c("3")),
"3"=list(edges=NULL)) ## allowed transitions between states
## edges=NULL implies terminal node
## Specifying tree
treeobj <- new("graphNEL", nodes=Nodes, edgeL=Edges,
edgemode="directed")
## Running msSurv
ans1 <- msSurv(ex1,treeobj)
EntryExit(ans1,t=0.8)
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