recurrisk.group: Estimate recurrence risk using grouped survival data

In RecurRisk: Recurrence Risk Assessment Tool

Description

A function to estimate the risk of recurrence using cancer registry disease-specific grouped survival data.

Usage

recurrisk.group(data, data.cansurv, stagevar, stage.dist.value, adj.r = 1)

Arguments

data	The SEER*Stat cause-specific or relative group survival data frame returned by function read.seerstat.
data.cansurv	The data frame including parameter estimation and covariance matrix for the mixture cure survival model from Cansurv CSV format output. It also contains the information on strata and covariates.
stagevar	The stage variable containing the distant stage from SEER*Stat data.
stage.dist.value	The numeric value of distant stage.
adj.r	The adjustment factor used to adjust the registry-based survival curves for sensitivity analysis. The default value is 1.

Value

A data frame containing the following items.

link	The parametric survival distribution among those not cured specified in CanSurv.
cure	The cure fraction estimated from the mixture cure survival model.
lambda	The estimated scale parameter of the survival distribution for those not cured.
k	The estimated shape parameter of the survival distribution for those not cured.
theta	The exponential hazard of the time from recurrence to cancer death.
surv_curemodel	The survival estimated from the mixture cure survival model.
surv_notcure	The estimated survival for the non-cured fraction.
median_surv_notcured	The median survival time for the non-cured fraction.
s1_numerical	The numerical estimated survival to recurrence (recurrence-free survival) for the non-cured fraction.
G_numerical	The numerical estimated survival to recurrence.
CI_numerical	1-G_numerical, the numerical estimated cumulative incidence of recurrence which is the probability of progressing to cancer recurrence.
s1_analytical	The analytical estimated survival to recurrence (recurrence-free survival) for the non-cured fraction.
G_analytical	The analytical estimated survival to recurrence.
CI_analytical	1-G_analytical, the analytical estimated cumulative incidence of recurrence.
se_CI_analytical	The standard error of CI_analytical.
obs_surv	The observed survival from SEER*Stat.
obs_dist_surv	The observed survival for distant stage from SEER*Stat.

See Also

data.group, read.seerstat.

Examples

data("data.group")
data("data.cansurv")
stagevar<-"SEER_historic_stage_LRD"
stage.dist.value<-2
adj.r<-1.5
out<-recurrisk.group(data.group, data.cansurv, stagevar, stage.dist.value, adj.r)

RecurRisk documentation built on July 2, 2020, 2:28 a.m.