Statistical Analysis of Brain Natriuretic Peptide in the Treatment of Heart Failure
American Journal of Clinical and Experimental Medicine
Volume 3, Issue 5, September 2015, Pages: 222-227
Received: Jun. 10, 2015;
Accepted: Jun. 15, 2015;
Published: Sep. 18, 2015
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Yizeng Li, Mathematics and Applied Mathematics, Hangzhou Dianzi University, Zhejiang, China
Hong Zhang, School of Information, Beijing Wuzi University, Beijing, China
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In the clinical researches, large number of clinical verifications has demonstrated that the Brain Natriuretic Peptide can be used in heart failure detection. Some relevant studies illustrate Plasma Brain Natriuretic Peptide can be affected by many factors, such as gender, age, environment of therapy, and so forth. This paper analyzes valid data of a clinical experiment, and finds out the influence of concomitant variables in diagnose of heart failure, then analyzes the outcome of rhNRG-1 on each individual. The phrase ‘Brain Natriuretic Peptide’ in the article specified N-terminal Prohormone of Brain Natriuretic Peptide (Nt-Pro BNP) in this dissertation. In this paper, the main analyzing method is Logistic Regression. It is used for estimating the Parameters of a qualitative model. The outcome, in other words, the probabilities is to describe the possible results of a single trial. By using this method, we could discuss the triggers of diseases and popularize it to other problems that concentrate on the cause. Moreover, the binary logistic model is for predicting a binary response based on one or more predictor variables. The main steps of this dissertation is data screening, missing values handling, descriptive statistics analyzing, then the Logistic Regression, and finally draw a conclusion.
N-terminal Prohormone, Brain Natriuretic Peptide, Heart Failure, Biostatistics, Logistic Regression
To cite this article
Statistical Analysis of Brain Natriuretic Peptide in the Treatment of Heart Failure, American Journal of Clinical and Experimental Medicine.
Vol. 3, No. 5,
2015, pp. 222-227.
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