Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption
In Malaysia, cervical cancer ranks as the third most prevalent and the fourth most lethal cancer among women. It continues to be a major concern among clinicians. Nonetheless, there were hardly any published studies on the assessment of the proportional hazard (PH) assumption for these patients in M...
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| Format: | Proceedings |
| Language: | English English |
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Pusat e-pembelajaran, UMS
2023
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| Online Access: | https://eprints.ums.edu.my/id/eprint/41302/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41302/2/FULL%20TEXT.pdf |
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| author | Nurliyana Juhan Yong Zulina Zubairi Nur Idayu Ah Khaliludin |
| author_facet | Nurliyana Juhan Yong Zulina Zubairi Nur Idayu Ah Khaliludin |
| author_sort | Nurliyana Juhan |
| collection | UMS |
| description | In Malaysia, cervical cancer ranks as the third most prevalent and the fourth most lethal cancer among women. It continues to be a major concern among clinicians. Nonetheless, there were hardly any published studies on the assessment of the proportional hazard (PH) assumption for these patients in Malaysia before the development of the Cox model. The application of survival analysis method is crucial in addressing this issue. Therefore, the aim of this study is to assess the PH assumption in the survival analysis of Malaysian cervical cancer patients. In this study, data was collected from Universiti Sains Malaysia Hospital (HUSM) throughout a seven-year period. The log cumulative hazard plot and the Schoenfeld residuals test with the cox.zph function was applied to assess the PH assumption of cervical cancer patients. From the log cumulative hazard plot, only primary treatment and stage of cancer satisfied the PH assumption. Meanwhile, from the Schoenfeld residual test, the p-values for variable ethnicity, lymph node involvement, histology, primary treatment, stage of cancer, and age category were not significant at the 5% significance level, which indicates that these six variables meet the proportional hazard assumption. It is worthwhile to note that in the Cox model, the assumption is that the hazard for any other individual is proportional to the hazard for any other individual, where the constant proportionality is independent of time. Therefore, before applying the Cox model, it is necessary to check for the PH assumption, as demonstrated in this study. |
| first_indexed | 2024-12-09T00:52:09Z |
| format | Proceedings |
| id | ums.eprints-41302 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-12-09T00:52:09Z |
| publishDate | 2023 |
| publisher | Pusat e-pembelajaran, UMS |
| record_format | dspace |
| spelling | ums.eprints-413022024-10-14T02:11:06Z https://eprints.ums.edu.my/id/eprint/41302/ Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption Nurliyana Juhan Yong Zulina Zubairi Nur Idayu Ah Khaliludin R855-855.5 Medical technology RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens In Malaysia, cervical cancer ranks as the third most prevalent and the fourth most lethal cancer among women. It continues to be a major concern among clinicians. Nonetheless, there were hardly any published studies on the assessment of the proportional hazard (PH) assumption for these patients in Malaysia before the development of the Cox model. The application of survival analysis method is crucial in addressing this issue. Therefore, the aim of this study is to assess the PH assumption in the survival analysis of Malaysian cervical cancer patients. In this study, data was collected from Universiti Sains Malaysia Hospital (HUSM) throughout a seven-year period. The log cumulative hazard plot and the Schoenfeld residuals test with the cox.zph function was applied to assess the PH assumption of cervical cancer patients. From the log cumulative hazard plot, only primary treatment and stage of cancer satisfied the PH assumption. Meanwhile, from the Schoenfeld residual test, the p-values for variable ethnicity, lymph node involvement, histology, primary treatment, stage of cancer, and age category were not significant at the 5% significance level, which indicates that these six variables meet the proportional hazard assumption. It is worthwhile to note that in the Cox model, the assumption is that the hazard for any other individual is proportional to the hazard for any other individual, where the constant proportionality is independent of time. Therefore, before applying the Cox model, it is necessary to check for the PH assumption, as demonstrated in this study. Pusat e-pembelajaran, UMS 2023 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/41302/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/41302/2/FULL%20TEXT.pdf Nurliyana Juhan and Yong Zulina Zubairi and Nur Idayu Ah Khaliludin (2023) Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption. https://oer.ums.edu.my/handle/oer_source_files/2781 |
| spellingShingle | R855-855.5 Medical technology RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens Nurliyana Juhan Yong Zulina Zubairi Nur Idayu Ah Khaliludin Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption |
| title | Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption |
| title_full | Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption |
| title_fullStr | Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption |
| title_full_unstemmed | Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption |
| title_short | Survival analysis of cervical cancer patients in Malaysia: assessing the proportional hazards assumption |
| title_sort | survival analysis of cervical cancer patients in malaysia assessing the proportional hazards assumption |
| topic | R855-855.5 Medical technology RC254-282 Neoplasms. Tumors. Oncology Including cancer and carcinogens |
| url | https://eprints.ums.edu.my/id/eprint/41302/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/41302/2/FULL%20TEXT.pdf |
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