Statistical Modelling of Bladder Cancer Remission Data of Fluctuating Hazard Rate: An Inverse Power Pranav Distribution Approach
Abstract
This study introduces the Inverse Pranav Distribution (IPD) as a flexible model for survival data with both monotone and non-monotone hazard rate behaviors. The Pranav distribution was inversely transformed to create the model, and its main statistical characteristics were determined. Using data on bladder cancer patients' remission times, the IPD's performance was contrasted with that of the Inverse Rama, Inverse Lindley, Inverse Exponential, and Inverse XGamma distributions. Based on likelihood values, information criteria, and goodness-of-fit tests, the results indicated that the IPD offered the best overall fit, outperforming rival models. The distribution was appropriate for survival and reliability studies because it could capture intricate hazard structures, including decreasing, increasing, and bathtub-shaped patterns.
Keywords
Bladder Cancer, Inverse Power Pranav
Citations
IRE Journals:
Chinedu Kingsley Nwankwo, Blessing Agbo, Chiemerie Nwokemodo, Joshua O. Adeniran "Statistical Modelling of Bladder Cancer Remission Data of Fluctuating Hazard Rate: An Inverse Power Pranav Distribution Approach" Iconic Research And Engineering Journals Volume 9 Issue 5 2025 Page 1435-1444 https://doi.org/10.64388/IREV9I5-1712068
IEEE:
Chinedu Kingsley Nwankwo, Blessing Agbo, Chiemerie Nwokemodo, Joshua O. Adeniran
"Statistical Modelling of Bladder Cancer Remission Data of Fluctuating Hazard Rate: An Inverse Power Pranav Distribution Approach" Iconic Research And Engineering Journals, 9(5) https://doi.org/10.64388/IREV9I5-1712068
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