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Understanding effect size and power analysis; Nov. 17 at noon; Interdisciplinary Health Sciences Institute; Jesus Sarol, Jr, Senior Research Biostatistician and Amandeep Kaur, Research Biostatistician

Understanding effect size and power analysis

Event Type
Seminar/Symposium
Sponsor
Interdisciplinary Health Sciences Institute
Virtual
wifi event
Date
Nov 17, 2021   12:00 - 1:00 pm  
Registration
Register for Zoom details
Contact
Aman Kaur
E-Mail
akaur@illinois.edu
Views
142
Originating Calendar
IHSI Events

The IHSI Biostatistics, Epidemiology, and Research Design (BERD) team is pleased to invite you to our second webinar, “Understanding effect size and power analysis,” on Nov. 17 at noon.

 

The first BERD webinar, “Towards understanding the p-value: Has it lost its significance?,” introduced the problems with the use of p-values, and offered some solutions for overcoming these issues in data analysis. One recommended solution is to use the p-value to supplement effect sizes, which are central to quantitative health studies. Effect sizes are almost always presented in study results under different guises, such as differences of means, risk ratios, or correlations. Additionally, effect size is an ingredient in power analysis, an essential study planning ingredient that affects study objectives, feasibility, and budget.

 

In “Understanding effect size and power analysis,” the BERD team will discuss the different forms of effect sizes, considerations for their selection, interpretation, and recommendations for their use. We will then describe how power analysis is conducted by identifying the main elements and determining the appropriate module for deriving any of these elements. The webinar will conclude with a demonstration of power analysis using software.

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