This function estimates the variance of the expected number of deaths when the latter is estimated using Sasieni's method.
1  var.expDeath(contribution, incid, cox, fuzz, Poisson = FALSE, covnames)

contribution 
An object of contributions produced by the function 
incid 
A matrix containing: the incidences, the value of the covariates and the personyears at risk, in that order. It can be obtained with the function 
cox 
An oject of class 
fuzz 
Numerical precision is problematic when it comes to test equality between objects. The option 
covnames 
An alphanumeric vector containing the names of the covariates used to estimate the survival in the cohort of nonparticipants, that is, the names of the covariates used to obtain the 
Poisson 
Indicates whether the incidences' variance should be estimated with a Poisson distribution (TRUE) or a binomial distribution (FALSE). The default is FALSE. 
The function returns the variance of the expected number of deaths
A complete example of how to use this function is available in the help page of the screening
dataset.
Denis Talbot, Thierry Duchesne, Jacques Brisson, Nathalie Vandal.
Talbot, D., Duchesne, T., Brisson, J., Vandal, N. (2011) Variance estimation and confidence intervals for the standardized mortality ratio with application to the assessment of a cancer screening program, Statistics in Medicine, 30, 30243037.
est.expDeath
, inference.SMR
, screening
1 2 3 4 5 6 7 8 9 10 11 12 13  #This example uses prebuilt objects and shows the simple usage
#of the est.expDeath function when those objects already exists.
#For an example of how to built those object, refer to the
#help page of the screening dataset.
#Remove "#" to run example. The function can be quite long (a few hours) to run:
#data(req.objects);
#cox.data = req.objects$cox.data;
#var.expDeath(req.objects$contribution,req.objects$incid,req.objects$cox,fuzz = 0.01,
#req.objects$covnames);
#[1,] 39.31382

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