Application of Survival Analysis Techniques Using Product Limit Method (PL) to Support Breast Cancer Survivalists
Abstract
This study aimed to evaluate the application of survival analysis techniques, specifically the Product Limit Method (PL), in predicting and supporting breast cancer survivorship outcomes at Kenyatta National Hospital (KNH). The research focused on comparing variances between censored and uncensored breast cancer patient data to determine optimal monitoring approaches. The study employed survival analysis techniques including Kaplan-Meier estimation and variance comparison analysis. Data from breast cancer patients (N=6) were analyzed using ANOVA to compare variances between censored (n=4) and uncensored (n=2) groups. The Cox proportional hazards model was applied to assess risk factors, while the log-rank test was used to evaluate survival distribution differences. Survival probabilities were estimated using the Product Limit Method with a confidence interval assessment. Analysis revealed a significant difference in variance estimates between censored (0.083) and uncensored (0.267) patient groups. The log-rank test showed survival distribution differences (p=0.695), indicating distinct survival patterns between groups. Cox regression analysis demonstrated improved model fit (?²=6.652, df=2, p<0.036) when incorporating explanatory variables. The Kaplan-Meier survival curves indicated higher survival probability for censored patients, particularly during the critical 9-49 day period post-diagnosis. The findings demonstrate that patients under regular monitoring (censored group) showed significantly lower variance in survival outcomes, suggesting more predictable and manageable disease progression. The Product Limit Method proved effective in analyzing breast cancer survival patterns, particularly when comparing censored versus uncensored patient groups. These results support the implementation of systematic patient monitoring protocols in breast cancer management strategies.
Keywords
Breast cancer, survival analysis, Product Limit Method, censoring, Kaplan-Meier estimation, variance analysis
Citations
IRE Journals:
Sirengo John Luca
"Application of Survival Analysis Techniques Using Product Limit Method (PL) to Support Breast Cancer Survivalists" Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 528-536
IEEE:
Sirengo John Luca
"Application of Survival Analysis Techniques Using Product Limit Method (PL) to Support Breast Cancer Survivalists" Iconic Research And Engineering Journals, 8(5)
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