Estimation of Risk Factors Affecting Screening Outcomes of Prostate Cancer Using the Bayesian Ordinal Logistic Model

J. L. Sirengo, D. A. Alilah, D. A. Mbete, R. Keli and Muhammad Ahsan

Journal of Probability and Statistics, 2023, vol. 2023, 1-9

Abstract: Prostate cancer occurs when cells in the prostate gland grow out of control. Almost all prostate cancers are adenocarcinomas. The survival rate for prostate cancer patients depends on the screening outcome, which can be either no prostate cancer, early detection, and late detection or advanced stage detection. The main objective of this study was to estimate the risk factors affecting the screening outcome of prostate cancer. With ordinal outcomes, a generalized Bayesian ordinal logistic model was considered in the analysis. The generalized Bayesian ordinal logistic model helped in estimation of coefficient parameters of the risk factors affecting each level of prostate cancer-screening outcomes. In the study, positive coefficients, that is, βk>0, indicated that the higher values on the explanatory variable increased the chances of the respondent being in a higher category of the dependent variable than the current one, while the negative coefficients, that is, βk

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljps:4987764

DOI: 10.1155/2023/4987764

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