Survival analysis using censored lung cancer data: A preliminary study
The primary goal of Exploratory Data Analysis (EDA) is exploring and understanding data in order to gain insights and guide for further analysis. It allows for data cleaning which involves removing redundancies, handling missing values, correcting errors and transforming data if necessary as it is...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2023
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| Online Access: | http://eprints.uthm.edu.my/11837/1/P17125_5ebeb1fa301f96a9ab8ca489010c6c8e.pdf%207.pdf http://eprints.uthm.edu.my/11837/ https://doi.org/10.1063/5.0224907 |
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| author | Muhamad Jamil, Siti Afiqah Ali, Nurul Izzah M. Mansor, Mahayaudin Ul-Saufi, Ahmad Zia Shafi, Muhammad Ammar |
| author_facet | Muhamad Jamil, Siti Afiqah Ali, Nurul Izzah M. Mansor, Mahayaudin Ul-Saufi, Ahmad Zia Shafi, Muhammad Ammar |
| author_sort | Muhamad Jamil, Siti Afiqah |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The primary goal of Exploratory Data Analysis (EDA) is exploring and understanding data in order to gain
insights and guide for further analysis. It allows for data cleaning which involves removing redundancies, handling missing
values, correcting errors and transforming data if necessary as it is an important part of overall data preparation process.
The aim of this study is to conduct a preliminary study before applying the survival method of analysis to censored lung
cancer observations. The Kaplan-Meier survival curve, proportional hazard assumption, time varying covariate assumption
via Scaled Schoenfeld residuals, Cox-Snell residuals for overall goodness of fit of the model assumption, and normality
assumption via quantile-quantile (Q-Q) plot were all used in this study. The study discovered that the lung cancer censored
observations were not violated with the parametric assumption among semi-parametric, and non-parametric assumptions.
Thus, future work is recommended to include a comparison of the parametric method of survivals using the lung cancer
data. The application of survival analysis would be ambiguous and mislead the researcher if the fundamental part of survival
being left out. As a result, this study may aid in identifying appropriate assumptions for prior application on the survival
analysis of censored observations |
| format | Conference or Workshop Item |
| id | my.uthm.eprints-11837 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2023 |
| record_format | eprints |
| spelling | my.uthm.eprints-118372025-04-10T03:57:29Z http://eprints.uthm.edu.my/11837/ Survival analysis using censored lung cancer data: A preliminary study Muhamad Jamil, Siti Afiqah Ali, Nurul Izzah M. Mansor, Mahayaudin Ul-Saufi, Ahmad Zia Shafi, Muhammad Ammar T Technology (General) The primary goal of Exploratory Data Analysis (EDA) is exploring and understanding data in order to gain insights and guide for further analysis. It allows for data cleaning which involves removing redundancies, handling missing values, correcting errors and transforming data if necessary as it is an important part of overall data preparation process. The aim of this study is to conduct a preliminary study before applying the survival method of analysis to censored lung cancer observations. The Kaplan-Meier survival curve, proportional hazard assumption, time varying covariate assumption via Scaled Schoenfeld residuals, Cox-Snell residuals for overall goodness of fit of the model assumption, and normality assumption via quantile-quantile (Q-Q) plot were all used in this study. The study discovered that the lung cancer censored observations were not violated with the parametric assumption among semi-parametric, and non-parametric assumptions. Thus, future work is recommended to include a comparison of the parametric method of survivals using the lung cancer data. The application of survival analysis would be ambiguous and mislead the researcher if the fundamental part of survival being left out. As a result, this study may aid in identifying appropriate assumptions for prior application on the survival analysis of censored observations 2023-09-19 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/11837/1/P17125_5ebeb1fa301f96a9ab8ca489010c6c8e.pdf%207.pdf Muhamad Jamil, Siti Afiqah and Ali, Nurul Izzah and M. Mansor, Mahayaudin and Ul-Saufi, Ahmad Zia and Shafi, Muhammad Ammar (2023) Survival analysis using censored lung cancer data: A preliminary study. In: AIP Conference Proceedings. https://doi.org/10.1063/5.0224907 |
| spellingShingle | T Technology (General) Muhamad Jamil, Siti Afiqah Ali, Nurul Izzah M. Mansor, Mahayaudin Ul-Saufi, Ahmad Zia Shafi, Muhammad Ammar Survival analysis using censored lung cancer data: A preliminary study |
| title | Survival analysis using censored lung cancer data: A
preliminary study |
| title_full | Survival analysis using censored lung cancer data: A
preliminary study |
| title_fullStr | Survival analysis using censored lung cancer data: A
preliminary study |
| title_full_unstemmed | Survival analysis using censored lung cancer data: A
preliminary study |
| title_short | Survival analysis using censored lung cancer data: A
preliminary study |
| title_sort | survival analysis using censored lung cancer data: a
preliminary study |
| topic | T Technology (General) |
| url | http://eprints.uthm.edu.my/11837/1/P17125_5ebeb1fa301f96a9ab8ca489010c6c8e.pdf%207.pdf http://eprints.uthm.edu.my/11837/ https://doi.org/10.1063/5.0224907 |
| url_provider | http://eprints.uthm.edu.my/ |