print_pred_stratum: Extension to the print_pred function, for by stratum...

In agdamsbo/daDoctoR: Functions For Health Research

Extension to the print_pred function, for by stratum analysis.

Description

Outputs list of results from 'print_pred' for the whole data set and for each stratum defined by 'strat'. Suitable to assist in determining whether a variable is a confounder or effect modifier. Ref: https://open.oregonstate.education/epidemiology/chapter/effect-modification/

Usage

print_pred_stratum(
  meas,
  adj,
  strat,
  data,
  dec = 2,
  n.by.adj = FALSE,
  p.val = FALSE,
  include.stratum = T
)

Arguments

meas	binary outcome measure variable, column name in data.frame as a string. Can be numeric or factor. Result is calculated accordingly.
adj	variables to adjust for, as string.
strat	stratum to stratify, variable name as string
data	dataframe of data.
include.stratum	flag to set if stratum variable should be included in first analysis of non-stratified data.

Examples

  data('mtcars')
  mtcars$vs<-factor(mtcars$vs)
  mtcars$am<-factor(mtcars$am)
  print_pred_stratum(meas="mpg",strat="vs",adj=c("disp","wt","am"),data=mtcars,include.stratum=TRUE)

agdamsbo/daDoctoR documentation built on Aug. 30, 2022, 4:29 p.m.