Errors and Linkage Disequilibrium Interact Multiplicatively When Computing Sample Sizes for Genetic Case-Control Association Studies.
Derek GordonMark A. LevenstienStephen J. FinchJürg OttPublished in: Pacific Symposium on Biocomputing (2003)
Keyphrases
- linkage disequilibrium
- statistical power
- sample size
- association studies
- genome wide
- registration errors
- statistical significance
- model selection
- haplotype inference
- upper bound
- experimental design
- human genome
- worst case
- high throughput
- data acquisition
- interaction effects
- statistical tests
- statistically significant