Estimation of covariate effects in proportional cross-ratio model of bivariate time-to-event outcomes

Liao, Ran; Hu, Tianle; Gao, Sujuan

doi:10.1080/03610918.2020.1839093

Cited by 1 publication

(1 citation statement)

References 23 publications

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“…Sabir et al [11] carried out a study to determine the prevalence of DM and its correlates in the suburban population of Northwest Nigeria. Two hundred and eighty participants were recruited using a multistage sampling technique [19][20][21].…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Reported Cases of Diabetes Disease in Nigeria: A Survival Analysis Approach

Adedotun¹,

Odusanya²,

Okagbue³

et al. 2022

IJSDP

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The goal of this study is to look at the survival time distribution for diabetes patients at the National Hospital Abuja, taking into account a variety of variables. The Kaplan Meier-estimator indicated that there is no statistically significant difference in the distribution of survival time by sex, despite the fact that married patients were seen to live longer than single patients. Patients in urban and rural areas had the same estimated survival distribution after testing. It is observed that the Cox proportional model was significant when tested since the p-value = 0.000 was less than the 0.05 threshold. The distribution of survival time for patients with diabetes is shown to be substantially different for patients of the four age categories included in the study, indicating that the relative risk of patients is based on age. Every patient is predicted to acquire the danger at about the same time, with no sex-related multiplication impact. It was found out that the disease's prevalence is unaffected by several of the variables studied, indicating that more regular medical checks are required.

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