Introduction to Robust Estimation and Hypothesis Testing 2022
DOI: 10.1016/b978-0-12-820098-8.00016-6
|View full text |Cite
|
Sign up to set email alerts
|

Robust Regression

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 144 publications
0
1
0
Order By: Relevance
“…Considering the highly skewed distribution of redox markers and contaminants, the magnitude of the associations was analyzed by means of robust regression based on the MM-estimator. 49 The covariates included were initially selected from among those most commonly used in the available literature. 19,50,51 Final covariate selection in the multivariable models was performed by using a combination of forward and backward stepwise methods.…”
Section: Oxidative Stress Biomarker Assessmentmentioning
confidence: 99%
“…Considering the highly skewed distribution of redox markers and contaminants, the magnitude of the associations was analyzed by means of robust regression based on the MM-estimator. 49 The covariates included were initially selected from among those most commonly used in the available literature. 19,50,51 Final covariate selection in the multivariable models was performed by using a combination of forward and backward stepwise methods.…”
Section: Oxidative Stress Biomarker Assessmentmentioning
confidence: 99%