Data transformation: a focus on the interpretation
Several assumptions such as normality, linear relationship, and homoscedasticity are frequently required in parametric statistical analysis methods. Data collected from the clinical situation or experiments often violate these assumptions. Variable transformation provides an opportunity to make data...
Main Author: | Dong Kyu Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
Korean Society of Anesthesiologists
2020-12-01
|
Series: | Korean Journal of Anesthesiology |
Subjects: | |
Online Access: | http://ekja.org/upload/pdf/kja-20137.pdf |
Similar Items
-
Preferring Box-Cox transformation, instead of log transformation to convert skewed distribution of outcomes to normal in medical research
by: S. Marimuthu, et al.
Published: (2022-05-01) -
Reciprocal Data Transformations and Their Back-Transforms
by: Daniel A. Griffith
Published: (2022-07-01) -
Application of transformed data in rain gauge network design using entropy concept
by: Mahmood Reza Shaghaghian
Published: (2017-08-01) -
A random effects meta-analysis model with Box-Cox transformation
by: Yusuke Yamaguchi, et al.
Published: (2017-07-01) -
Tools for Exploring Multivariate Data: The Package ICS
by: Klaus Nordhausen, et al.
Published: (2008-09-01)