AalenJohansen: Risk estimate using the Aalen-Johansen method

View source: R/AalenJohansen.R

AalenJohansenR Documentation

Risk estimate using the Aalen-Johansen method

Description

Computes the Aalen-Johansen estimator to estimate an (absolute) risk with right-censored competing risks data, together with a confidence interval and (possibly) a p-value (for a one-sample hypothesis test). Computation of confidence intervals and p-values is based on either Empirical Likelihood (EL) inference or Wald-type inference. Both are non-parametric approaches, which are asymptotically equivalent. See Blanche (2020) for details. For the Wald-type approach, the asymptotic normal approximation is used on the cloglog scale. See e.g. equation 4.21 in Beyersmann et al (2011).

Usage

AalenJohansen(
  time,
  cause,
  t,
  risk.H0 = NULL,
  level = 0.95,
  contr = list(tol = 1e-05, k = 3, Trace = FALSE, method = "both")
)

Arguments

time

vector of times (possibly censored)

cause

vector of event types/causes. It should be coded 1 for main events, 2 for competing events and 0 for censored.

t

the time point of interest (e.g., 1 to compute a 1-year risk)

risk.H0

risk under the null hypothesis, if one would like to compute the correspondng p-value. Default is NULL, for which no p-value is computed.

level

confidence level for the confidence intervals. Default is 0.95.

contr

list of control parameters. tol=tolerance for numerical computation, default is 1e-5. method="EL", "Wald" or "both" indicates wether 95% CI and p-value should be computed based on Empirical Likelihood (EL) inference , Wald-type inference or both.

Value

object of class 'AalenJohansen'

Author(s)

Paul Blanche

References

Blanche, P. (2020). Confidence intervals for the cumulative incidence function via constrained NPMLE. Lifetime Data Analysis, 26(1), 45-64.

Beyersmann, Allignol, & Schumacher (2011). Competing risks and multistate models with R. Springer Science & Business Media.

Examples

x <- AalenJohansen(time=melanoma5$time, cause=melanoma5$status, t=4, level=0.95)
x


timeEL documentation built on Sept. 12, 2024, 9:35 a.m.

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