imputeCens function

Impute Interval Censored Data from icenReg Regression Model

Imputes censored responses from data.

imputeCens(fit, newdata = NULL, imputeType = "fullSample", samples = 5)

Arguments

• fit: icenReg model fit
• newdata: data.frame containing covariates and censored intervals. If blank, will use data from model
• imputeType: type of imputation. See details for options
• samples: Number of imputations (ignored if imputeType = "median")

Details

If newdata is left blank, will provide estimates for original data set.

There are several options for how to impute. imputeType = 'median'

imputes the median time, conditional on the response interval, covariates and regression parameters at the MLE. To get random imputations without accounting for error in the estimated parameters imputeType ='fixedParSample' takes a random sample of the response variable, conditional on the response interval, covariates and estimated parameters at the MLE. Finally, imputeType = 'fullSample' first takes a random sample of the coefficients, (assuming asymptotic normality) and then takes a random sample of the response variable, conditional on the response interval, covariates, and the random sample of the coefficients.

Examples

simdata <- simIC_weib(n = 500)

fit <- ic_par(cbind(l, u) ~ x1 + x2,
              data = simdata)

imputedValues <- imputeCens(fit)

Author(s)

Clifford Anderson-Bergman