Statistical and research design problems to avoid in manuscripts
Dr. Jo Roislien
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, Jo Roislien, Mathematician; Biostatistician, Professor of Medical Statistics at University of Stavanger will share his thoughts on statistical and research design problems.
What you learn
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
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 common sense and simple arithmetic.
PhD in Statistics from Stanford University; Professor at Gallaudet University; Award-winning science/stats writer