Abstract

Cox model and accelerated failure time models are widely used in modelling of survival data for various diseases. This research compares the performance of Cox proportional hazards models and accelerated failure time (AFT) models using TB/HIV co-infected survival data. The tools used are AFT model plot, the log-likelihood test, Akaike Information Criterion (AIC), Log rank test for comparing all survival variables. The research established that AFT model provides a better description of the dataset as compared with Cox PH models because it allows prediction of Hazard function, survival functions as well as time ratio. Moreover, Cox proportional hazard model does not fit appropriately when compared with AFT model; thereby provide less appropriate description of the survival data. Hence, it is better for researchers of TB/HIV coinfection to consider AFT model even if the proportionality assumption of the Cox model is satisfied.

How to Cite
OGUNGBOLA OPEYEMI OYEKOLA, DR. A. A. AKOMOLAFE, DR. A. Z. MUSA, Mr.. Performance of Cox Proportional Hazards and Accelerated Failure Time Models in the Tuberculosis/HIV Co-Infected Survival Data. Global Journal of Medical Research, [S.l.], apr. 2021. ISSN 2249-4618. Available at: <https://medicalresearchjournal.org/index.php/GJMR/article/view/2412>. Date accessed: 17 jan. 2022.


Organize Conference

We organize seminars /symposium /conferences/workshop/webinar worldwide on innovative topics and fields of Computer Science and research. We also collaborate, partner or sponsor with a view to provide our professional guidance and expertise to conduct in standard way.

Read More

Research Membership

Global Journals Inc., as described in our Corporate Statement, is an educational, research, research publishing, and professional membership organization. Elevation to the ranks of Fellow of the Association of the Research Society in Computer and Member of the Association of the Research Society in Computer is open.

Read More