# Case-Cohort Studies with Interval-Censored Failure Time Data Provides a sieve semiparametric likelihood approach under the proportional hazards model for analyzing data from a case-cohort design with failure times subject to interval-censoring. The likelihood function is constructed using inverse probability weighting, and the sieves are built with Bernstein polynomials. A weighted bootstrap procedure is implemented for variance estimation. ```r CaseCohortIC(U, V, del1, del2, xi, z, sp, mVal, B, beta = NULL, maxit = 10L, verbose = TRUE, ...) ``` ## Arguments - `U`: numeric vector (n); examination time. See Details for further information. - `V`: numeric vector (n); examination time. See Details for further information. - `del1`: integer vector (n); indicator of a left-censored observation I(T<=U). See Details for further information. - `del2`: integer vector (n); indicator of an interval-censored observation I(U TK); therefore, define U = 0, V = TK, and (del1,del2)=(0,0). For interval-censored data, the failure occurs between two follow-up examinations, e.g. T2 < TF < T3; therefore, define U and V to be the two consecutive follow-up examination times bracketing the failure time TF and (del1,del2)=(0,1). ## Examples ```r data(ccData) result <- CaseCohortIC(U = ccData$U, V = ccData$V, del1 = ccData$del1, del2 = ccData$del2, xi = ccData$xi, z = ccData$z, sp = 0.2, mVal = 1L, B = 10L, beta = NULL, maxit = 10L, verbose = TRUE) print(result) mVal(result) estimate(result) optimObj(result) minAIC(result) summary(result) ``` ## References Zhou, Q., Zhou, H., and Cai, J. (2017). Case-cohort studies with interval-censored failure time data. Biometrika, 104(1): 17--29.

CaseCohortIC function