Bayesian frailty modeling of correlated survival data with application to under-five mortality
نویسندگان
چکیده
منابع مشابه
Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota.
The use of survival models involving a random effect or 'frailty' term is becoming more common. Usually the random effects are assumed to represent different clusters, and clusters are assumed to be independent. In this paper, we consider random effects corresponding to clusters that are spatially arranged, such as clinical sites or geographical regions. That is, we might suspect that random ef...
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Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study. One of the most important issues in the analysis of survival data with spatial dependence, is estimation of the parameters and prediction of the unknown values in known sites based on observations vector. In this paper to analyze this type of survival, Cox...
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BACKGROUND The risk of a child dying before reaching 5 years of age is highest in sub-Saharan African countries. But in Ethiopia, under-five mortality rates have shown a substantial decline. METHODS For this study, the Cox regression model for fixed and time-dependent explanatory variables was studied for under-five mortality in Ethiopia. We adapted survival analysis using the Cox regression ...
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ژورنال
عنوان ژورنال: BMC Public Health
سال: 2020
ISSN: 1471-2458
DOI: 10.1186/s12889-020-09328-7