Odds Ratio, Relative Risk & Risk Difference with R | R Tutorial 4.11| MarinStatsLectures

Odds Ratio, Relative Risk and Risk Difference with R using an R Package: Learn how to calculate the relative risk, odds ratio and risk difference (also known as attributable risk) using the epiR package in R (with example). 👉🏼Related: Odds Ratio, Relative Risk, Risk Difference Statistics Video (   • Odds Ratio, Relative Risk, Risk Diffe...   ) 📝 Find R practice dataset (LungCapData) here: (https://statslectures.com/r-scripts-d... )

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In this R video tutorial, we will learn how to calculate the relative risk, odds ratio and risk difference (also known as attributable risk) using the epiR package in R. These are numeric summaries for analyzing 2x2 tables, also known as cross-tabulations. Risk Difference, Relative Risk, and Odds Ratio measure the association between 2 categorical variables (or factors).

Odds Ratio, Relative Risk, and Risk Difference are all slightly different ways of describing the association between two categorical variables. The Relative Risk also gets referred to as a Risk Ratio, Rate Ratio, Incidence Rate Ratio, or Prevalence Rate Ratio. The Risk Difference also gets referred to as the Attributable Risk.

These video tutorials are useful for anyone interested in learning data science and statistics with R programming language using RStudio.

Table of Content:

0:00:11 what do relative risk, odds ratio, and attributable risk measure?
0:00:34 how to produce a 2-way table for two categorical variables in R statistical software using the “table" function
0:00:47 how to produce a side by side bar plot in R using "barplot" function and "beside" argument
0:01:40 how to load the library for a package installed in R programming language
0:02:04 how to access help menu for a package installed in R programming language
0:02:19 how to calculate relative risks, odds ratios and attributable risks using the "epi.2by2" function
0:02:36 how to specify whether the data is from a cohort study or case-control study using "cohort.count" or "case.control" arguments in R Statistical Software
00:02:50 how to set the confidence interval in R using the "conf.level" argument
0:03:18 how to interpret the odds ratio
0:03:44 how to present the data in a table in R using the standard a,b,c,d notation of exposed/unexposed and diseased/not-diseased using "matrix" function
0:05:12 how to present the data in a table in R using the standard a,b,c,d notation of exposed/unexposed and diseased/not-diseased using square brackets and "cbind" function
0:05:44 how to add names to the columns of a table using "colnames" function in R


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