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Research Paper | Statistics | India | Volume 12 Issue 4, April 2023 | Rating: 4.9 / 10
Impact of Influential Observations in Survival Analysis
Pavithra V | Kannan R [5]
Abstract: Whenever survival analysis is used, the most important thing to look at is the data and the reliability of each model based on the data. Especially, using survival analysis, the way of handling the data is very important because using the data for analysis there are countless flaws and especially when influence observations are present and when they are not, the reliability of the model is completely different. The purpose of this research article is to clearly see how the survival models like Kaplan-Meier, Cox Proportion Hazard Model, Minimum Survival Probability and Maximum Survival Probability results are vary with and without of influential observations in the breast cancer data.
Keywords: Breast Cancer, Influence Observation, Kaplan-Meier Test, Log Rank Test, Cox Proportional Hazard Model, Minimum Survival probability, Maximum Survival Probability
Edition: Volume 12 Issue 4, April 2023,
Pages: 1057 - 1062