2021-06-14 10:40:02 +02:00
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% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/print_pred_stratum.R
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\name{print_pred_stratum}
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\alias{print_pred_stratum}
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\title{Extension to the print_pred function, for by stratum analysis.}
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\usage{
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print_pred_stratum(
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meas,
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adj,
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strat,
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data,
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dec = 2,
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n.by.adj = FALSE,
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p.val = FALSE
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)
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}
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\arguments{
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\item{meas}{binary outcome measure variable, column name in data.frame as a string. Can be numeric or factor. Result is calculated accordingly.}
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\item{adj}{variables to adjust for, as string.}
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\item{strat}{stratum to stratify, variable name as string}
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\item{data}{dataframe of data.}
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\item{include.stratum}{flag to set if stratum variable should be included in first analysis of non-stratified data.}
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}
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\description{
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Outputs list of results from 'print_pred' for the whole data set and for each stratum defined by 'strat'.
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Suitable to assist in determining whether a variable is a confounder or effect modifier.
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Ref: https://open.oregonstate.education/epidemiology/chapter/effect-modification/
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}
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\examples{
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data('mtcars')
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mtcars$vs<-factor(mtcars$vs)
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mtcars$am<-factor(mtcars$am)
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print_pred_stratum(meas="mpg",strat="vs",adj=c("disp","wt","am"),data=mtcars,include.stratum=TRUE)
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}
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\keyword{stratum}
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