<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Prostate cancer is a severe threat to human lives. Approximately 1 in 7 men will be diagnosed with prostate cancer throughout their lifetimes, and 1 in 39 men will die from prostate cancer. There are many factors which increase or decrease the survival time of prostate cancer patients. Data is used here from a randomised clinical trial for the choice of treatment for prostate cancer patients in stages 3 and 4. This study is done to identify probable variables that influence the survival time of patients only for these two stages. The AFT and the Cox-PH models determine how variables affect prostate cancer patients' survival time.</p>
</abstract>

Prostate cancer is a severe threat to human lives. Approximately 1 in 7 men will be diagnosed with prostate cancer throughout their lifetimes, and 1 in 39 men will die from prostate cancer. There are many factors which increase or decrease the survival time of prostate cancer patients. Data is used here from a randomised clinical trial for the choice of treatment for prostate cancer patients in stages 3 and 4. This study is done to identify probable variables that influence the survival time of patients only for these two stages. The AFT and the Cox-PH models determine how variables affect prostate cancer patients' survival time.

Evaluation of the Effect of Prognostic Variables on the Survival Analysis of Prostate Cancer

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Prostate cancer is a severe threat to human lives. Approximately 1 in 7 men will be diagnosed with prostate cancer throughout their lifetimes, and 1 in 39 men...

Evaluation of the Effect of Prognostic Variables on the Survival Analysis of Prostate Cancer

Online veröffentlicht: 30. Dez. 2022

Seitenbereich: 77 - 98

DOI: https://doi.org/10.2478/bile-2022-0007

Schlüsselwörter
Cox-PH, AFT, Log-rank

© 2022 Shafiq Hossain Sourav et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Evaluation of the Effect of Prognostic Variables on the Survival Analysis of Prostate Cancer

Online veröffentlicht: 30. Dez. 2022

Seitenbereich: 77 - 98

DOI: https://doi.org/10.2478/bile-2022-0007

SchlüsselwörterCox-PH, AFT, Log-rank

© 2022 Shafiq Hossain Sourav et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
Cox-PH, AFT, Log-rank