Statistical modelling for bladder cancer disease using the NLT-W distribution

DOI10.3934/math.2021538OpenAlexW3175643683MaRDI QIDQ2671001

Saima K. Khosa, Zubair Ahmad, Marwa M. Mohie El-Din, Heba S. Mohammed, E. H. Hafez, Alanazi T. Abdulrahman, M. M. Abd El-Raouf

Publication date: 3 June 2022

Published in: AIMS Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/math.2021538

zbMATH Keywords

parametric modelWeibull distributioninformation criteriasurvival data analysisremission time

Related Items (1)

A new statistical approach for modeling the bladder cancer and leukemia patients data sets: case studies in the medical sector

Cites Work

• A new method for generating families of continuous distributions
• Generalized alomari functionals
• Estimating the dimension of a model
• How to Identify a Bathtub Hazard Rate
• What Price Kaplan-Meier?
• Logistic Regression, Survival Analysis, and the Kaplan-Meier Curve
• A new look at the statistical model identification
• Unnamed Item
• Unnamed Item

This page was built for publication: Statistical modelling for bladder cancer disease using the NLT-W distribution