## How to Read a Scientific Paper

We show you how to read a scientific paper efficiently to make the most of your reading time.

## Online Learning Resources for Scientists Working From Home

From bad weather to rail strikes or global pandemics, there are several reasons you may find yourself working from home. After writing up any outstanding grant proposals or papers, reviewing the literature, and perusing the endless field of coronavirus news updates, what’s a scientist to do? Brush up on your non-lab skills, of course! We…

## Are you Guilty of P-Hacking?

P-value abuse directly contributes to one of the biggest problems facing the scientific community: the prominence of false-positive results in the published literature. Contrary to popular interpretation, the p-value doesn’t indicate the likelihood that the observed result was due to chance. There are important qualifications to p-value interpretation.  Moreover, the p-value cannot directly speak to…

## How Many Data Points Do I Need For My Experiment?

To draw a convincing conclusion from your data, you cannot simply shoot for the standard significance cutoff. You also need to consider the statistical power, which is determined in part by the sample size in your experiment.

## Choose the Statistical Package that Will Make Your Data Talk

In the last years, the need for using statistical testing in bioscience has grown exponentially and so has the development of statistical software. It is now common that everyone is using some sort of stats in their basic research. Among the skillful biostatisticians, R is the most popular software for data analysis, but not all…

## 3 Common Myths About p Value: Alternatively Never, Ever Rely on it for Data Interpretation

When it comes to data analysis and interpretation, you need to be very clear about the meaning of a given p value and be aware of all its intrinsic limitations.

## Basic Statistics for Flow Cytometrists – Part 1

Part of my job in running a core flow cytometry facility is to make sure that the experiments that my users run have been optimised. But that optimisation can be split up into several areas. The first area is experimental planning: What do you want to know? Can you do this by flow cytometry? And…

## Data Spread and How to Measure It: the Coefficient of Variation (CV)

No matter how we make measurements, there will be variation (a spread of data). Take 100 people and ask them to guess your age and you will get a range of results: some will be too low (excellent!), some too high (not so good!). It is the same with any of our laboratory experiments –…

## My 10 Favorite R Packages and the Cool Things You Can Do with Them

One of the best parts of R is how extensible it is. Over the years, the community has put together hundreds (thousands?) of amazing packages to make your workflow easier. The downside of this wealth is that it can be hard to find packages that do exactly what you want! Therefore, I’ve put together a…