Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data
The research explores several imputation techniques, namely left, right, midpoint and random imputations for the MLE of the Weibull regression model with covariate for uncensored, right, and interval-censored data. A simulation study is conducted to obtain the parameter estimates of the model with d...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Malaysia Perlis
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/115408/ http://psasir.upm.edu.my/id/eprint/115408/1/115408.pdf |
| _version_ | 1848866768712368128 |
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| author | Naushad Ali, Ahmad Kabeer Arasan, Jayanthi |
| author_facet | Naushad Ali, Ahmad Kabeer Arasan, Jayanthi |
| author_sort | Naushad Ali, Ahmad Kabeer |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The research explores several imputation techniques, namely left, right, midpoint and random imputations for the MLE of the Weibull regression model with covariate for uncensored, right, and interval-censored data. A simulation study is conducted to obtain the parameter estimates of the model with different imputation techniques, sample sizes, and censoring proportions and its performance are evaluated using bias, standard error (SE), and root mean square error (RMSE). The simulation result indicates that midpoint imputation technique outperformed other techniques based on the lowest RMSE values. Finally, the model was fit to diabetic nephropathy data were fitted to the model using selected imputation techniques. The result concluded that the Weibull regression model may provide a good fit to the data and that the covariate, gender has a significant effect on the survival time of patient kidneys. |
| first_indexed | 2025-11-15T14:25:51Z |
| format | Article |
| id | upm-115408 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:25:51Z |
| publishDate | 2024 |
| publisher | Universiti Malaysia Perlis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1154082025-03-04T03:19:31Z http://psasir.upm.edu.my/id/eprint/115408/ Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data Naushad Ali, Ahmad Kabeer Arasan, Jayanthi The research explores several imputation techniques, namely left, right, midpoint and random imputations for the MLE of the Weibull regression model with covariate for uncensored, right, and interval-censored data. A simulation study is conducted to obtain the parameter estimates of the model with different imputation techniques, sample sizes, and censoring proportions and its performance are evaluated using bias, standard error (SE), and root mean square error (RMSE). The simulation result indicates that midpoint imputation technique outperformed other techniques based on the lowest RMSE values. Finally, the model was fit to diabetic nephropathy data were fitted to the model using selected imputation techniques. The result concluded that the Weibull regression model may provide a good fit to the data and that the covariate, gender has a significant effect on the survival time of patient kidneys. Universiti Malaysia Perlis 2024 Article PeerReviewed text en cc_by_nc_sa_4 http://psasir.upm.edu.my/id/eprint/115408/1/115408.pdf Naushad Ali, Ahmad Kabeer and Arasan, Jayanthi (2024) Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data. Applied Mathematics and Computational Intelligence (AMCI), 13 (3). pp. 115-142. ISSN 2289-1323; eISSN: 2289-1315 https://ejournal.unimap.edu.my/index.php/amci/article/view/330 10.58915/amci.v13i3.330 |
| spellingShingle | Naushad Ali, Ahmad Kabeer Arasan, Jayanthi Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data |
| title | Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data |
| title_full | Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data |
| title_fullStr | Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data |
| title_full_unstemmed | Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data |
| title_short | Left, right, midpoint and random point Imputation techniques for Weibull regression model with right and interval-censored data |
| title_sort | left, right, midpoint and random point imputation techniques for weibull regression model with right and interval-censored data |
| url | http://psasir.upm.edu.my/id/eprint/115408/ http://psasir.upm.edu.my/id/eprint/115408/ http://psasir.upm.edu.my/id/eprint/115408/ http://psasir.upm.edu.my/id/eprint/115408/1/115408.pdf |