Analysis of baseline, average, and longitudinally measured blood pressure data using linear mixed models
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Summary
It is concluded that the linear mixed model with longitudinal measurements of diastolic blood pressure is the most accurate at identifying the known single-nucleotide polymorphism among the methods, but linear mixed models with baseline measures perform best with systolicBlood pressure as the outcome.
- Type
- preprint
- Published
- 2014-06-17
- Cited by
- 7
- References
- 11
- Access
- Open access
- OpenAlex
- https://openalex.org/W25519409
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6087792
Keywords
Alpha (finance), Physics, Photon, Optics, Psychology
References
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- Joint Associations of Physical Activity and Aerobic Fitness on the Development of Incident Hypertension: Coronary Artery Risk Development in Young Adults (CARDIA)
- Mixed linear model approach adapted for genome-wide association studies
- Common Variants in the ATP2B1 Gene Are Associated With Susceptibility to Hypertension
- A Common Genetic Variant of FCN3/CD164L2 Is Associated With Essential Hypertension in a Chinese Population
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- A Comparison of Statistical Methods for the Discovery of Genetic Risk Factors Using Longitudinal Family Study Designs
- Comparing Analytic Methods for Longitudinal GWAS and a Case-Study Evaluating Chemotherapy Course Length in Pediatric AML. A Report from the Children's Oncology Group
- Regional heritability mapping and genome‐wide association identify loci for complex growth, wood and disease resistance traits in Eucalyptus
- Genome-wide association of trajectories of systolic blood pressure change
- Identification of key contributors in complex population structures
- Trans-ethnic meta-analysis identifies new loci associated with longitudinal blood pressure traits