| Research Title |
Composite Imputation Method in Logistic Regression Analysis |
| Date of Distribution |
18 November 2018 |
| Conference |
| Title of the Conference |
INTERNATIONAL CONFERENCE ON APPLIED STATISTICS (ICAS) 2018 |
| Organiser |
คณะวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยสงขลานครินทร์ วิทยาเขตปัตตานี |
| Conference Place |
Centra by Centara, Government Complex Hotel & Convention Centre Chaeng Watthana Bangkok |
| Province/State |
กรุงเทพมหานคร |
| Conference Date |
24 October 2018 |
| To |
26 October 2018 |
| Proceeding Paper |
| Volume |
- |
| Issue |
- |
| Page |
69-72 |
| Editors/edition/publisher |
|
| Abstract |
This research aims to propose a new composite imputation method for logistic regression model when missing completely at random (MCAR) occur
in the independent variables. The proposed method, namely the Median Multiple Imputation (MED-MI) method, is constructed from combination of
two single imputation methods that is Median Imputation (MED) method and Multiple Imputation (MI) method by using Equivalent Weighted (EW)
method. This MED-MI method is compared the performance by simulated data with the MI method, K-Nearest Regression Multiple Imputation 2
(KRMI2) method, and K-Nearest Stochastic Regression Imputation with Equivalent Weighted (KSEW) method. The performance of each method is
considered by the percentage of accuracy in predicting the value of dependent variables. The results of the simulation study show that the MED-MI
method has the higher percentage of accuracy in predicting the value of dependent variables than the MI method, KRMI2 method and KSEW method
for all situations. |
| Author |
|
| Peer Review Status |
มีผู้ประเมินอิสระ |
| Level of Conference |
นานาชาติ |
| Type of Proceeding |
Full paper |
| Type of Presentation |
Oral |
| Part of thesis |
true |
| Presentation awarding |
false |
| Attach file |
|
| Citation |
0
|
|
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Publication
Journal Publication
ไทย