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

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 fi...

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Bibliographic Details
Published in:Current hypertension reports 2015-10, Vol.17 (10), p.81-81, Article 81
Main Authors: Amaratunga, Dhammika, Cabrera, Javier
Format: Article
Language:English
Subjects:
Blood Pressure - physiology
Blood Pressure Determination
Cardiology
Cardiovascular System - physiopathology
Family Medicine
General Practice
Genotype
Guidelines/Clinical Trials/Meta-Analysis (JB Kostis
Humans
Hypertension
Hypertension - physiopathology
Internal Medicine
Medicine
Medicine & Public Health
Metabolic Diseases
Nephrology
Primary Care Medicine
Registries - statistics & numerical data
Section Editor
Topical Collection on Guidelines/Clinical Trials/Meta-Analysis
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Summary: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.
ISSN:1522-6417
1534-3111
DOI:10.1007/s11906-015-0591-8