Comparison of several imputation techniques for log logistic model with covariate and interval censored data
The main purpose of this study is to compare the performance of midpoint, right, and left imputation techniques for log logistic model with covariate and censored data. The maximum likelihood estimation method (MLE) is used to check the efficiency of imputation techniques by estimating the parameter...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2024
|
| Online Access: | http://journalarticle.ukm.my/23629/1/Paper_13%20-.pdf http://journalarticle.ukm.my/23629/ http://www.ukm.my/jqma |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1834434745735315456 |
|---|---|
| author | Teea, Yuan Xin Jayanthi Arasan, |
| author_facet | Teea, Yuan Xin Jayanthi Arasan, |
| author_sort | Teea, Yuan Xin |
| building | Tun Sri Lanang Library |
| collection | Institutional Repository |
| content_provider | Universiti Kebangsaan Malaysia |
| content_source | UKM Journal Article Repository |
| continent | Asia |
| country | Malaysia |
| description | The main purpose of this study is to compare the performance of midpoint, right, and left imputation techniques for log logistic model with covariate and censored data. The maximum likelihood estimation method (MLE) is used to check the efficiency of imputation techniques by estimating the parameters. The performance of the estimates is evaluated based on their bias, standard error (SE), and root mean square error (RMSE) at different sample sizes, censoring proportions, and interval widths via a simulation study. Based on the results of the simulation study, the right imputation had the best overall performance. Finally, the proposed model is fitted to the real breast cancer data. The findings suggest that the log logistic model fits the breast cancer data well and the covariate of treatment significantly affects the time to cosmetic deterioration of the breast cancer patients. |
| format | Article |
| id | my-ukm.journal.23629 |
| institution | Universiti Kebangsaan Malaysia |
| language | en |
| publishDate | 2024 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| record_format | eprints |
| spelling | my-ukm.journal.236292024-06-10T01:33:29Z http://journalarticle.ukm.my/23629/ Comparison of several imputation techniques for log logistic model with covariate and interval censored data Teea, Yuan Xin Jayanthi Arasan, The main purpose of this study is to compare the performance of midpoint, right, and left imputation techniques for log logistic model with covariate and censored data. The maximum likelihood estimation method (MLE) is used to check the efficiency of imputation techniques by estimating the parameters. The performance of the estimates is evaluated based on their bias, standard error (SE), and root mean square error (RMSE) at different sample sizes, censoring proportions, and interval widths via a simulation study. Based on the results of the simulation study, the right imputation had the best overall performance. Finally, the proposed model is fitted to the real breast cancer data. The findings suggest that the log logistic model fits the breast cancer data well and the covariate of treatment significantly affects the time to cosmetic deterioration of the breast cancer patients. Penerbit Universiti Kebangsaan Malaysia 2024-03 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/23629/1/Paper_13%20-.pdf Teea, Yuan Xin and Jayanthi Arasan, (2024) Comparison of several imputation techniques for log logistic model with covariate and interval censored data. Journal of Quality Measurement and Analysis, 20 (1). pp. 171-186. ISSN 2600-8602 http://www.ukm.my/jqma |
| spellingShingle | Teea, Yuan Xin Jayanthi Arasan, Comparison of several imputation techniques for log logistic model with covariate and interval censored data |
| title | Comparison of several imputation techniques for log logistic model with covariate and interval censored data |
| title_full | Comparison of several imputation techniques for log logistic model with covariate and interval censored data |
| title_fullStr | Comparison of several imputation techniques for log logistic model with covariate and interval censored data |
| title_full_unstemmed | Comparison of several imputation techniques for log logistic model with covariate and interval censored data |
| title_short | Comparison of several imputation techniques for log logistic model with covariate and interval censored data |
| title_sort | comparison of several imputation techniques for log logistic model with covariate and interval censored data |
| url | http://journalarticle.ukm.my/23629/1/Paper_13%20-.pdf http://journalarticle.ukm.my/23629/ http://www.ukm.my/jqma |
| url_provider | http://journalarticle.ukm.my/ |