Review of New Statistical Techniques for Analysis of Cardiovascular Trial and Registry Data

Current Hypertension Reports
Dhammika Amaratunga, Javier Cabrera

Abstract

Cardiovascular research generates a large variety of data including big and small datasets that pose interesting challenges to researchers in biomedical statistics. This paper covers a number of important methodology issues and the solutions that have been applied so far to try to solve them. The first issue is multiple testing and the use of false discovery rates to correct for multiplicity. This is illustrated with an application related to genotyping heart diseases. The second is measuring life extension at present and in the future. The third one is the issue of U and J curves and the questions they present. Finally, this paper studies visit-to-visit blood pressure variability as a predictor of cardiovascular events.

References

Jul 31, 2010·The American Journal of Medicine·Scott J DenardoCarl J Pepine
Dec 22, 2011·JAMA : the Journal of the American Medical Association·John B KostisBarry R Davis
Jan 8, 2014·Hypertension·Ole A AndreassenUNKNOWN International Consortium for Blood Pressure Genome-Wide Association Studies, Genetic Factors for Osteoporosis Consortium

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