What is Statistical Modeling?
Statistical modeling fills the gap when you can’t possibly sample every member of a population. In this post, you’ll see the most common type of models at work, with published examples.
Data Handling and Sharing
Frequentist vs. Bayesian Statistics – Which should you use?
Are you a frequentist or a Bayesian? Do you know the difference? Do you want to reinterpret your data? Here’s an accessible guide to this ongoing statistical debate.
Software Tools for Better, Faster Research Collaboration
From brainstorming to publishing, software can remove all the messy analog processes of research coordination. Cloud-based packages now let you smoothly work with your colleagues across physical and time differences. Here we offer suberb recommendations.
Forest Plots: When and How to Use Them
The forest plot is a figure that appears in the Results section of a systematic literature review report. It is a graphic representation of the findings of multiple studies that investigated the same scientific question and measured the same outcome.
Software for Making Scientific Figures: Your Best Options
Along with Excel and SPSS are many amazing software options for making figures for your STEM & HSS scientific data. This list includes many new and exciting options for making figures that demand your readers’ attention.
Using Tables to Present Your Research Results
Neat, orderly, and well-selected tables let you show large amounts of data to communicate your research. Here you’ll learn how to make great tables.
What Makes Scientific Figures Effective? What you should know
Figures in scientific papers catch the reader’s eye. They should clearly and easily show data visually. That includes how you lay them out, scale them, and annotate them. Here’s how to make them more effective.
Turn Your Collected Data Into More Publications, More Impact
Collected (or have access to) lots of data? Unsure what sorts of research questions you can write up and publish? How can we turn data into articles? Read on!
Powerful Benefits of Using R to Analyze Your Research Data (and a Few Cautions)
R is a free software environment that’s been around since the mid-1990s. But it remains a statistical powerhouse. Many researchers and students alike prefer it to popular commercial packages. If you like control, you also might convert to R.
ANOVA Explained: How to compare differences of means
ANOVA is used to compare differences of means among more than 2 groups. Here’s how to know analysis of variance inside and out.
What to Know When Writing a Clinical Protocol
by Sumudu Narayana A clinical protocol is the framework of a trial, outlining how the …
Principles of Experimental Design and Statistical Inference
Explore key statistical considerations when you’re performing experimental studies and observational studies.