Kernel score statistic for dependent data
The kernel score statistic is a global covariance component test over a set of genetic markers. It provides a flexible modeling framework and does not collapse marker information. We generalize the kernel score statistic to allow for familial dependencies and to adjust for random confounder effects....
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
BioMed Central
2014
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143755/ |