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Published in: Current Hypertension Reports 10/2015

01-10-2015 | Guidelines/Clinical Trials/Meta-Analysis (JB Kostis, Section Editor)

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

Authors: Dhammika Amaratunga, Javier Cabrera

Published in: Current Hypertension Reports | Issue 10/2015

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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.
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go back to reference Kostis J, Cabrera J, Cheng KL, Cosgrove N, Deng Y, Pressel S, et al. Association between chlorthalidone treatment of systolic hypertension and long-term survival. JAMA. 2011;306(23):2588–93. This paper develops new survival analysis methodology to measure life extension due to a treatment. Kostis J, Cabrera J, Cheng KL, Cosgrove N, Deng Y, Pressel S, et al. Association between chlorthalidone treatment of systolic hypertension and long-term survival. JAMA. 2011;306(23):2588–93. This paper develops new survival analysis methodology to measure life extension due to a treatment.
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go back to reference Cabrera J, McDougall A. Statistical consulting: communication, methodology and practice. Springer-Verlag; 2002. This book contains a concise description of the general methodology of data analysis and model building and polynomial and nonlinear modeling that is applied for U curve and J-curve fitting. Cabrera J, McDougall A. Statistical consulting: communication, methodology and practice. Springer-Verlag; 2002. This book contains a concise description of the general methodology of data analysis and model building and polynomial and nonlinear modeling that is applied for U curve and J-curve fitting.
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Metadata
Title
Review of New Statistical Techniques for Analysis of Cardiovascular Trial and Registry Data
Authors
Dhammika Amaratunga
Javier Cabrera
Publication date
01-10-2015
Publisher
Springer US
Published in
Current Hypertension Reports / Issue 10/2015
Print ISSN: 1522-6417
Electronic ISSN: 1534-3111
DOI
https://doi.org/10.1007/s11906-015-0591-8

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