Compute crude probability of death
Estimates the crude probability of death due to disease and due to population reasons
cmp.rel(formula, data, ratetable = relsurv::slopop, na.action,tau, conf.int=0.95,precision=1,add.times,rmap)
formula |
a formula object, with the response as a NOTE: The follow-up time must be in days. |
data |
a data.frame in which to interpret the variables named in the
|
ratetable |
a table of event rates, organized as a |
na.action |
a missing-data filter function, applied to the model.frame,
after any subset argument has been used. Default is
|
tau |
the maximum follow-up time of interest, all times larger than |
conf.int |
the level for a two-sided confidence interval on the survival curve(s). Default is 0.95. |
precision |
the level of precision used in the numerical integration of variance. Default is 1, which means that daily intervals are taken, the value may be decreased to get a higher precision or increased to achieve a faster calculation. The calculation intervals always include at least all times of event and censoring as border points. |
add.times |
specific times at which the value of estimator and its variance should be evaluated. Default is all the event and censoring times. |
rmap |
an optional list to be used if the variables are not
organized and named in the same way as in the |
NOTE: The follow-up time must be specified in days. The ratetable being used may have different variable names and formats than the user's data set, this is dealt with by the rmap argument. For example, if age is in years in the data set but in days in the ratetable object, age=age*365.241 should be used. The calendar year can be in any date format (date, Date and POSIXt are allowed), the date formats in the ratetable and in the data may differ.
Note that numerical integration is required to calculate the variance estimator. The integration precision is set with argument precision, which defaults to daily intervals, a default that should give enough precision for any practical purpose.
The area under the curve is calculated on the interval [0,tau].
Function summary may be used to get the output at specific points in time.
An object of class cmp.rel.
Objects of this class have methods for the functions print and plot. The summary function can be used for printing output at required time points.
An object of class cmp.rel is composed of several lists, each pertaining the cumulative hazard function for one risk and one strata. Each of the lists contains the following objects:
time |
the time-points at which the curves are estimated |
est |
the estimate |
var |
the variance of the estimate |
lower |
the lower limit of the confidence interval |
upper |
the upper limit of the confidence interval |
area |
the area under the curve calculated on the interval [0, |
index |
indicator of event and censoring times among all the times in the output. The times added via paramater |
add.times |
the times added via parameter |
Package: Pohar Perme, M., Pavlic, K. (2018) "Nonparametric Relative Survival Analysis with the R Package relsurv". Journal of Statistical Software. 87(8), 1-27, doi: "10.18637/jss.v087.i08"
rs.surv, summary.cmp.rel
data(slopop) data(rdata) #calculate the crude probability of death #note that the variable year must be given in a date format and that #age must be multiplied by 365.241 in order to be expressed in days. fit <- cmp.rel(Surv(time,cens)~sex,rmap=list(age=age*365.241), ratetable=slopop,data=rdata,tau=3652.41) fit plot(fit,col=c(1,1,2,2),xscale=365.241,xlab="Time (years)") #if no strata are desired: fit <- cmp.rel(Surv(time,cens)~1,rmap=list(age=age*365.241), ratetable=slopop,data=rdata,tau=3652.41)
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