SurvM: Create a multiple-cause survival object
In moreno-betancur/survMCOD: Survival analysis with multiple causes of death

Description Usage Arguments Details Value References Examples

SurvM Creates a multiple-cause survival object, which is used as a response variable in the model formula provided to survMCOD.

1	SurvM(time, time2, status, weight, type = c("right", "counting"))

`time`	For right censored data, this is the follow up time. For counting process data, the first argument is the entry time.
`time2`	For counting process data only, it is the exit time.
`status`	The vital status indicator such that 0=alive and 1=dead.
`weight`	The weight indicating the proportion of the death attributed to the disease of interest. It should be NA if individual alive (status=0) and a number between 0 and 1 if dead (status=1).
`type`	Character string specifying the type of censoring. Possible values are "right" and "counting".

This function needs to be used to in the formula argument of the survMCOD function.

The user is referred to Moreno-Betancur et al. (2017), Piffaretti et al. (2016) and Rey et al. (2017) for descriptions and discussions of various weight-attribution strategies to determine the weight argument.

An object of class SurvM.

Moreno-Betancur M, Sadaoui H, Piffaretti C, Rey G. Survival analysis with multiple causes of death: Extending the competing risks model. Epidemiology 2017; 28(1): 12-19.

Piffaretti C, Moreno-Betancur M, Lamarche-Vadel A, Rey G. Quantifying cause-related mortality by weighting multiple causes of death. Bulletin of the World Health Organization 2016; 94:870-879B.

Rey G, Piffaretti C, Rondet C, Lamarche-Vadel A, Moreno-Betancur M. Analyse de la mortalite par cause : ponderation des causes multiples. Bulletin Epidemiologique Hebdomadaire, 2017; (1): 13-9.

  datEx<-simMCOD(n=1000,xi=-1,rho=-2,phi=0,pgen=c(1,0,0.75,0.25,0.125,0.083),
          lambda=0.001,v=2,pUC=c(1,0.75))

  SurvM(time=datEx$TimeEntry, time2=datEx$TimeExit, status=datEx$Status,
  weight=datEx$Pi, type="counting")