Biostatistics series module 6: Correlation and linear regression

Correlation and linear regression are the most commonly used techniques for quantifying the association between two numeric variables. Correlation quantifies the strength of the linear relationship between paired variables, expressing this as a correlation coefficient. If both variables x and y are...

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Veröffentlicht in:	Indian journal of dermatology Jg. 61; H. 6; S. 593 - 601
Hauptverfasser:	Hazra, Avijit, Gogtay, Nithya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	India Wolters Kluwer India Pvt. Ltd 01.11.2016 Medknow Publications and Media Pvt. Ltd Medknow Publications & Media Pvt. Ltd Medknow Publications & Media Pvt Ltd Wolters Kluwer Medknow Publications
Schlagworte:	Agreements Analysis Biometry Bland-Altman plot Conflicts of interest correlation Correlation analysis correlation coefficient IJD intraclass correlation coefficient method of least squares Module on Biostatistics and Research Methodology for the Dermatologist - Module Editor: Saumya Panda Pearson′s r point biserial correlation coefficient regression Regression analysis Spearman′s rho Statistics Variables India method of least squares Spearman′s rho Pearson′s r correlation Bland-Altman plot regression intraclass correlation coefficient point biserial correlation coefficient correlation coefficient Spearman's rho Pearson's r Bland–Altman plot
ISSN:	0019-5154, 1998-3611, 1998-3611
Online-Zugang:	Volltext
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