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JournalISSN: 2395-5414

Journal of the Practice of Cardiovascular Sciences 

Medknow
About: Journal of the Practice of Cardiovascular Sciences is an academic journal published by Medknow. The journal publishes majorly in the area(s): Medicine & Internal medicine. It has an ISSN identifier of 2395-5414. It is also open access. Over the lifetime, 191 publications have been published receiving 1458 citations.

Papers published on a yearly basis

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Journal ArticleDOI
TL;DR: The Chi-square test as mentioned in this paper was developed by Karl Pearson to evaluate whether there is an association between rows and columns in a contingency table and the proportions of the risk factor of interest.
Abstract: In medical research, there are studies which often collect data on categorical variables that can be summarized as a series of counts. These counts are commonly arranged in a tabular format known as a contingency table. The chi-square test statistic can be used to evaluate whether there is an association between the rows and columns in a contingency table. More specifically, this statistic can be used to determine whether there is any difference between the study groups in the proportions of the risk factor of interest. Chi-square test and the logic of hypothesis testing were developed by Karl Pearson. This article describes in detail what is a chi-square test, on which type of data it is used, the assumptions associated with its application, how to manually calculate it and how to make use of an online calculator for calculating the Chi-square statistics and its associated P-value.

140 citations

Journal ArticleDOI
TL;DR: Linear regression is a statistical procedure for calculating the value of a dependent variable from an independent variable as mentioned in this paper, which measures the association between two variables and is the most widely used of all statistical techniques.
Abstract: Linear regression is a statistical procedure for calculating the value of a dependent variable from an independent variable. Linear regression measures the association between two variables. It is a modeling technique where a dependent variable is predicted based on one or more independent variables. Linear regression analysis is the most widely used of all statistical techniques. This article explains the basic concepts and explains how we can do linear regression calculations in SPSS and excel.

125 citations

Journal ArticleDOI
TL;DR: Patients at high risk for renal complications who were scheduled for angiography to receive intravenous 1.26% sodium bicarbonate or intravenous 0.9% sodium chloride and 5 days of oral acetylcysteine or oral placebo were randomly assigned to the modified intention-to-treat analysis.
Abstract: METHODS Using a 2-by-2 factorial design, we randomly assigned 5177 patients at high risk for renal complications who were scheduled for angiography to receive intravenous 1.26% sodium bicarbonate or intravenous 0.9% sodium chloride and 5 days of oral acetylcysteine or oral placebo; of these patients, 4993 were included in the modified intention-to-treat analysis. The primary end point was a composite of death, the need for dialysis, or a persistent increase of at least 50% from baseline in the serum creatinine level at 90 days. Contrast-associated acute kidney injury was a secondary end point.

89 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202242
20207
201931
201824
201725
201628