Description Usage Arguments Value Details See Also Examples
Calculate attributable risk estimates for one or more exposure characteristics. The attributable risk, or etiologic fraction, is an estimate of the reduction in an outcome were a risk factor to change.
1 2 3 4 
formula 
an object of class 'formula'. A symbolic description of the model to be fitted. 
data 
a data frame used for the formula. 
weights 
optional weights for the fitting criterion. 
subset 
an optional vector specifying a subset of observations to be used. 
na.action 
a missingdata filter function. This is applied to the model.frame
after any
subset argument has been used. Default is 
varmethod 
A string that specifies the resampling technique used to estimate confidence intervals and standard errors.

k 
the number of groups to use for the jackknife.
The parameter is ignored for bootstrap variance. Setting this
to 0 or to a value >= the sample size will leads to leaving out each
observation one at a time, i.e., the ordinary jackknife.
Optionally, 
conf 
The confidence level for confidence intervals 
control 
a list of optional parameters, see 
baseline 
Must be either NULL or a data frame containing values for the exposure variable(s) of the formula, which specifies the desired baseline value for each individual. 
model 
a logical value indicating whether model frame should be included as a component of the returned value. 
x,y 
logical values indicating whether the model matrix and/or response used in the fitting process should be returned. 
... 
other arguments such as 
an object of class "attribrisk" with the following components:
attributable risk estimate
variance of the attributable risk
results from the underlying coxph or glm fit
results of the boot
function, optional
results of the boot.ci
function, optional
A copy of the call to the function
None.
attribrisk.fit
, attribrisk.control
, and
benichou
1 2 3 4 5  data(benichou)
# Use the Benichou (1991) data to estimate attributable risk of oesophageal
# cancer due to alcohol greater than or equal to 80g/day
attribrisk(cases ~ expos(alcohol80), data=benichou)

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