On the Analysis of a Repeated Measure Design in Genome-Wide Association Analysis

On the Analysis of a Repeated Measure Design in Genome-Wide Association Analysis

Longitudinal data enables detecting the effect of aging/time, and as a repeated measures design is statistically more efficient compared to cross-sectional data if the correlations between repeated measurements are not large. In particular, when genotyping cost is more expensive than phenotyping cos...

Full description

Bibliographic Details
Main Authors: Young Lee, Suyeon Park, Sanghoon Moon, Juyoung Lee, Robert C. Elston, Woojoo Lee, Sungho Won
Format: Article
Language:English
Published: MDPI AG 2014-11-01
Series:International Journal of Environmental Research and Public Health
Subjects:
longitudinal data
cross-sectional data
Korean Association Resource (KARE) cohort
Health Examinee (HEXA) cohort
Online Access:http://www.mdpi.com/1660-4601/11/12/12283

Internet

http://www.mdpi.com/1660-4601/11/12/12283

Similar Items