episens.sublime-snippet

<snippet>
	<content><![CDATA[
* Replace "value"		
local disease  =value // Disease Variable
local exposure =value // Exposure Variable

* Misclassification of the exposure
local se1=value // define the sensitivity among the cases
local se2=value // define the sensitivity among the noncases
local sp1=value // define the specificity among the cases
local sp2=value // define the specificity among the noncases

* Selection bias
local cex=value // define the selection probability among cases exposed
local cun=value // define the selection probability among cases unexposed
local nex=value // define the selection probability among noncases exposed
local nun=value // define the selection probability among noncases unexposed

* Uncontrolled confounding
local prc =value // define the prevalence of the confounder among the unexposed
local ceor=value // define the confounder-exposure odds ratio
local cdrr=value // define the confounder-disease relative risk

episens `disease' `exposure', combined study(cc) ///
	dseca(c(`se1')) dsenc(c(`se2')) dspca(c(`sp1')) dspnc(c(`sp2')) ///
	dpscex(c(`cex')) dpscun(c(`cun')) dpsnex(c(`nex')) dpsnun(c(`nun')) ///
	dpunexp(c(`prc')) dorce(c(`ceor')) drrcd(c(`cdrr')) 
]]></content>
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</snippet>