R is a powerful open source free statistical tool/software used now extensively in all fields due to its ease of applications/functions and powerful graphic tools. Here we describe different resources of R for medical professions.
Start with this book. Written in a simple and concise manner and helpful for people with no prior programming knowledge.
Get $50 value crash course for free when you sign up for email subscription.Learn the basics of data science with step by step guide, data visualization, data manipulation and machine learning with R.
A 419 pages book covering all important aspects of R.
A booklet describing the common statistical tests used in biomedical sciences with examples. Statistical tests include calculating relative risk, odds ratio, testing association between disease and exposure, Mantel-Haenszel test, dose response analysis, calculation of sample size for RCT, calculation of power of RCT and Forest Plot for a Meta-analysis of Several Different Randomised Control Trials. PDF version also explains on how to install R on your desktop. Functions of R used in this book are calcRelativeRisk(),calcOddsRatio(),chisq.test,fisher.test,cmh.test(),calcTaronesTest(),calcMHRatio(),mcnemar.test(),
A good and basic read for those who are unfamiliar with R functions.
A very good and comprehensive book starting with basic concepts of R and then gradually moving to epidemiological data analysis tools. Written by Epidemiology Unit, Prince of Songkla University, Thailand. For medical professionals, R for dummies and this book should be enough to make them specialized in R for their research purposes. Book is in PDF format with 328 pages.
A detailed and open source book by Tom ́as J. Aragon of University of California, Berkeley School of Public Health and the San Francisco Department of Public Health.
This is the course book which was conducted by University of Tartu, Estonia in May 2015. Slides of this book are here. A very helpful and easy to read book. For PPT of this book, click here.
R packages for epidemiological tests
There are different R packages to use to test different epidemiological tests/function which are
- Calculate risk difference and its confidence intervals
- Calculate risk ratio and its confidence intervals
- gsDesign which includes
A step by step and very detailed guide on how to do the meta analysis in R. You can even do a literature search through R package on
pubmed. It’s a PowerPoint presentation saved in PDF.
A guide with example on stackoverflow question and answer website. You can also search for many other R related question and answers.