rm(list=ls())
library(kableExtra)
library(magrittr)
library(dplyr)
library(tidyverse)
library(popEpi)
library(DiagrammeR)
library(biostat3)
library(Epi)
Standardized Incidence Ratio (SIR) or Standardized Mortality Ratio (SMR) are common measures of event occurrence in epidemiology. They are used to compare the occurrence of an event in a cohort to that observed in a given population called reference population.
SIR and SMR help the investigator to have a global idea on the occurrence of the event of interest in the followed population (the cohort).
They are an indirect method of adjustment for a confounding factors (age, sex, calendar year etc.) that describes in numerical terms how the cohort average experience of the event during the follow-up compared with that of the reference population as a whole.
In this post I will show three ways to estimate a SIR / SMR by indirect standardization from your cohort using R. For a complete view of the project please visite : https://rpubs.com/antoine-kossi/sir-analysis-with-r
To make a contribution, feel free to clone the rip and to share it.
To report a comment you can email me [email protected] or to create an issue on github.