Sample Size and Statistical Power Calculation in Genetic Association Studies
A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases. Genome-wide association studies require much larger sample sizes to achieve an adequate statistical power. We estimated the statistical power wi...
Saved in:
| Main Authors: | Eun Pyo Hong, Ji Wan Park |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BioMed Central
2012-06-01
|
| Series: | Genomics & Informatics |
| Subjects: | |
| Online Access: | http://genominfo.org/upload/pdf/gni-10-117.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sample size determination for conducting a pilot study to assess reliability of a questionnaire
by: Mohamad Adam Bujang, et al.
Published: (2024-02-01) -
Association of Rab37 gene polymorphism and delayed menarche: a report of 2 060 women
by: YUAN Meng, et al.
Published: (2025-03-01) -
Case Study as a Methodoloqy
by: sajedeh allameh
Published: (2021-08-01) -
GeneRiskCalc: a web-based tool for genetic risk association analysis in case–control studies
by: Amrit Sudershan, et al.
Published: (2025-08-01) -
Open Case Studies: Statistics and Data Science Education through Real-World Applications
by: Carrie Wright, et al.
Published: (2024-10-01)