R/dataDescription.R

#This file contains the roxygen comments for the package and
#internal data frames


##' Perform methods of multiple imputation for
##' time to event data
##'
##' See Nonparametric comparison of two survival functions with
##' dependent censoring via nonparametric multiple imputation. Hsu and Taylor
##' Statistics in Medicine (2009) 28:462-475 for Hsu's method
##'
##' See Relaxing the independent censoring assumption in the Cox proportional
##' hazards model using multiple imputation. Jackson et al., Statistics in Medicine
##' (2014) 33:4681-4694 for Jackson's method
##'
##' @name InformativeCensoring-package
##' @aliases InformativeCensoring
##' @docType package
##' @title Perform methods of multiple imputation for
##' time to event data
##' @author \email{David.Ruau@@astrazeneca.com}
NULL


##' Simulated time to event data with 5 time independent covariates
##'
##' This dataset is inspired by the simulation described in Hsu and Taylor,
##' Statistics in Medicine (2009) 28:462-475 with an additional DCO.time column
##'
##' @name ScoreInd
##' @docType data
##' @format A data.frame containing a row per subject with eleven columns:
##' @field  Id subject identifier
##' @field arm factor for treatment group control=0, active=1
##' @field Z1 binary time independent covariate
##' @field Z2 continuous time independent covariate
##' @field Z3 binary time independent covariate
##' @field Z4 continuous time independent covariate
##' @field Z5 binary time independent covariate
##' @field event event indicator (1 yes, 0 no)
##' @field time subject censoring/event time (in years)
##' @field to.impute logical, should an event time be imputed for this subject?
##' (this is ignored if subject has event time)
##' @field DCO.time The time the subject would have been censored if they had not
##' had an event or been censored before the data cut off date
NULL

##' Simulated time dependent variables for time to event data
##'
##' This data set contains time dependent covariates for the
##' \code{\link{ScoreInd}} time to event data.
##'
##' @name ScoreTimeDep
##' @docType data
##' @format A data.frame containing 1 row per subject-visit
##' @field Id The Subject Id
##' @field start The covariate given in each row are for a given subject from time 'start'...
##' @field end ... until time end
##' @field W1 The value of a (binary) time dependent variable
##' for the subject with the given 'Id' between times 'start' and 'end'
##' @field W2 The value of a (continuous) time dependent variable
##' for the subject with the given 'Id' between times 'start' and 'end'
NULL

Try the InformativeCensoring package in your browser

Any scripts or data that you put into this service are public.

InformativeCensoring documentation built on June 7, 2023, 6:09 p.m.