Webinar: Statistical and research design problems to avoid in manuscripts

Statistical and research design problems to avoid in manuscripts

How researchers design their study affects what conclusions they make. Attention to a few key details before collecting data will pay off richly during data analysis. Statistical errors are surprisingly common in the scientific literature. Researchers can avoid many errors through careful data cleaning and checking, and by using simple arithmetic.

In this panel discussion, Regina Nuzzo, PhD, from Gallaudet University, will give a few tips for good study design and Kristin Sainani, PhD, from Stanford University will discuss common statistical problems and how to avoid them. Additionally, Dr. Jo Roislien, Mathematician; Biostatistician, Professor of Medical Statistics at University of Stavanger will share his thoughts on statistical and research design problems. Don’t miss the Q&A round in the end where the panel will address queries.

In this talk, you will learn to:

  • include an appropriate control group
  • plan for an adequate sample size
  • collect a representative sample
  • spot impossible effect sizes and simple math error
  • differentiate between statistically significant and clinically significant results
  • avoid statistical errors by following principles of effective statistics


Session details

Date: October 13th, 2022

Time: 9 AM EDT/ 1 PM UTC

Duration: 1 hour


Click here to register yourself for this free webinar.



Regina Nuzzo

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Regina Nuzzo, PhD, is a professor at Gallaudet University in Washington, D.C., a senior advisor for statistics communication at the American Statistical Association, and an award-winning science journalist. She has lectured on television and around the world to various audiences about statistical significance, research reproducibility, de-biasing data analysis and statistics communication. She received her PhD in statistics from Stanford University and graduate training in science journalism at the University of California, Santa Cruz. Her writings on probability, statistics, data, and other topics have appeared in the Los Angeles Times, New York Times, Scientific American, New Scientist, Reader's Digest and Nature, among others.

Kristin Sainani

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Kristin Sainani, PhD, (née Cobb) is an associate professor at Stanford University. She teaches statistics and writing, works on statistical projects in sports medicine, and writes about health, science, and statistics for a range of audiences. She has authored the health column Body News for Allure magazine for a decade. She is also the statistical editor for the journal Physical Medicine & Rehabilitation, and writes a statistics column called Statistically Speaking for this journal. She teaches the popular Massive Open Online Course (MOOC) ‘Writing in the Sciences’ on Coursera, and also offers an online medical statistics certificate program through the Stanford Center for Professional Development. She was the recipient of the 2018 Biosciences Award for Excellence in Graduate Teaching at Stanford University.

Dr. Jo Røislien

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Our trainer for this session is Dr. Jo Røislien, who is a professor of medical statistics at the Faculty of Health Sciences at the University of Stavanger (UiS), a senior scientist at the Norwegian Air Ambulance Foundation (SNLA), and associate professor II at the Norwegian University of Science and Technology (NTNU). Prof. Røislien is a renowned research and science communicator. He developed and hosted the popular science show “Siffer” (“Digits”) on NRK, and was the first ever Norwegian to be a host on Discovery Channel. Prof. Røislien is also one of the experts behind the advanced modules in the Editage training course for peer reviewers, where he shares some great tips on reviewing statistics.


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