Five things Biologists should know about Statistics

June 21, 2011

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

In a thoughtful blog post, Bioinformatician Ewan Birney (Head of Nucleotide Data at the European Bioinformatics Institute) talks about the importance of Statistics to biologists:

Biology is really about stats. Indeed, the foundation of much of frequentist statistics – RA Fisher and colleagues – were totally motivated by biological problems.

He also cites the "Five statistical things I wished I had been taught 20 years ago". In order, they are:

  1. Non-parametric statistics
  2. R
  3. The problem of multiple testing
  4. The relationship between P-value, effect size, and sample size, and
  5. Linear models and PCA

Read Ewan's full post at the link below for his reasons why every biologist should learn about these five statistical things.

Bioinformatician at Large: Five statistical things I wished I had been taught 20 years ago (via @paulblaser)


To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , ,

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)