Related Experiment Video
Updated: Feb 16, 2026

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector
Published on: March 28, 2018
Sample Size Calculations for Comparing Groups with Binary Outcomes
Xunan Zhang1, Jiangnan Lyu2, Justin Tu3
1Department of Statistics, University of California, Berkeley, CA, USA.
Abstract:
Sample size is a critical parameter for clinical studies. However, to many biomedical and psychosocial investigators, power and sample size analysis seems like a magic trick of statisticians. In this paper, we continue to discuss power and sample size calculations by focusing on binary outcomes. We again emphasize the importance of close interactions between investigators and biostatisticians in setting up hypotheses and carrying out power analyses.
Related Concept Videos
Sample Size Calculation
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
One-Way ANOVA: Unequal Sample Sizes
Binary Fission
Binary Fission
Calculating the Equilibrium Constant
For example, gaseous nitrogen dioxide forms dinitrogen tetroxide according to this equation:

