Application of Non Parametric and Semi-Parametric Models on Survival Time of Patients with Cardiovascular Disease: Case Study of Barau Dikko Teaching Hospital, Kaduna, Nigeria

This study examines the survival times of cardiovascular patients using Kaplan-Meier (KM) survival curves and the Cox Proportional Hazards model. Analysis of data from Barau Dikko Teaching Hospital, Nigeria, revealed shorter survival times among male patients and those consuming alcohol or smoking. KM curves and Log-rank tests identified significant risk factors such as high blood pressure and irregular pulse rates. Cox model hazard ratios highlighted alcohol consumption as the highest risk factor. These findings demonstrate the utility of non-parametric and semi-parametric models in identifying survival determinants among cardiovascular patients.

• Publication year

  2025

• Venue

  Malaysian Journal of Science and Advanced Technology

• Publication date

  2025-09-17

• Fields of study

  Not labeled

• Identifiers
  DOI 10.56532/mjsat.v5i3.440
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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