Related Experiment Video
Updated: Aug 9, 2026

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images (SDM-PSI)
Published on: November 27, 2019
A review of key research design and statistical analysis issues
1Department of Cariology, Restorative Sciences, and Endodontics, University of Michigan, Ann Arbor, USA.
Abstract:
This article highlights some basic principles of the design and use of statistical tests, using a minimum of mathematics or statistical jargon. It is not the intent to summarize all the possible details involved with performing these tests, but instead to offer insight into evaluating the statistical methods found in published articles. Historically, the number of scientific articles published in which inappropriate statistical analyses were performed is alarming. Only when the reader understands the problem and demands change will this situation improve. The consequence of inaction is to be mired with an array of poorly designed articles that, at the very least, do not advance the field of study and, at worse, may influence practitioners not well versed in statistics to expose patients to useless, unnecessary, or even harmful procedures.
More Related Videos
08:33A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
Published on: September 4, 2019
08:36The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
Published on: April 19, 2024
Related Concept Videos
Factorial Design
Study Design in Statistics
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
Statistical Methods to Analyze Parametric Data: ANOVA
One-way ANOVA is applied when a single independent variable or factor is scrutinized. It compares the...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...