Outlier detection in logistic regression and its application in medical data analysis
The application of logistic regression is widely used in medical research. The detection of outliers has become an essential part of logistic regression. It is often observed outliers have a considerable influence on the analysis results, which may lead the study to the wrong conclusions. Many proce...
Saved in:
Main Authors: | Ahmad, Sanizah, Mohamed Ramli, Norazan, Midi, Habshah |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2012
|
Online Access: | http://psasir.upm.edu.my/id/eprint/45052/1/Outlier%20detection%20in%20logistic%20regression%20and%20its%20application%20in%20medical%20data%20analysis.pdf http://psasir.upm.edu.my/id/eprint/45052/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Diagnostics for residual outliers using deviance component in binary logistic regression.
by: Ahmad, Sanizah, et al.
Published: (2011) -
Robust estimators in logistic regression: A comparatives simulation study.
by: Midi, Habshah, et al.
Published: (2010) -
Detection of outliers and influential observations in binary logistic regression: An empirical study.
by: Sarkar, S.K., et al.
Published: (2011) -
The performance of classical and robust logistic regression
estimators in the presence of outliers
by: Midi, Habshah, et al.
Published: (2012) -
Modified standardized Pearson residual for the identification of outliers in logistic regression model
by: Midi, Habshah, et al.
Published: (2013)