ASSESSING THE PERFORMANCE OF SOME RE-SAMPLING METHODS USING LOGISTIC REGRESSION

  • U. Usman
  • M. Waziri
  • Faruk Manu
  • Y. Zakari
  • H. G. Dikko
Keywords: Re-sampling, Logistic regression, Odd ratio, HIV and Category data

Abstract

This research reports on the performance of two re-sampling methods (Bootstrap and Jackknife) relationship and significance of social-economic factors (age, gender, marital status and settlement) and modes of HIV/AIDS transmission to the HIV/AIDS spread. Logistic regression model, a form of probabilistic function for binary response was used to relate social-economic factors (age, sex, marital status and settlement) to HIV/AIDS spread. The statistical predictive model was used to project the likelihood response of HIV/AIDS spread with a larger population using 10,000 Bootstrap re-sampled observations and Jackknife re-sampled. From the analysis obtained from the two re-sampling methods, we can conclude that HIV transmission in Kebbi state is higher among the married couples than single individuals and concentrate more in the rural areas.

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Published
2021-06-29
How to Cite
UsmanU., WaziriM., ManuF., ZakariY., & DikkoH. G. (2021). ASSESSING THE PERFORMANCE OF SOME RE-SAMPLING METHODS USING LOGISTIC REGRESSION. FUDMA JOURNAL OF SCIENCES, 5(1), 445 - 456. https://doi.org/10.33003/fjs-2021-0501-589