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

  • Mahmoud El-Morshedy
  • , Zubair Ahmad
  • , Elsayed Tag-Eldin
  • , Zahra Almaspoor
  • , Mohamed S. Eliwa
  • , Zahoor Iqbal

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Statistical methods are frequently used in numerous healthcare and other related sectors. One of the possible applications of the statistical methods is to provide the best description of the data sets in the healthcare sector. Keeping in view the applicability of statistical methods in the medical sector, numerous models have been introduced. In this paper, we also introduce a novel statistical method called, a new modified-G family of distributions. Several mathematical properties of the new modified-G family are derived. Based on the new modified-G method, a new updated version of the Weibull model called, a new modified-Weibull distribution is introduced. Furthermore, the estimators of the parameters of the new modified-G distributions are also obtained. Finally, the applicability of the new modified-Weibull distribution is illustrated by analyzing two medical sets. Using certain analytical tools, it is observed that the new modified-Weibull distribution is the best choice to deal with the medical data sets.

Original languageEnglish
Pages (from-to)10474-10492
Number of pages19
JournalMathematical Biosciences and Engineering
Volume19
Issue number10
DOIs
StatePublished - 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • bladder cancer
  • family of distribution
  • healthcare sector
  • leukemia
  • statistical modeling
  • Weibull distribution

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