Modeling Hierarchically Clustered Longitudinal Survival Processes with Applications to Child Mortality and Maternal Health

Barthélémy Kuate-Defo


This paper merges two parallel developments since the 1970s of new statistical tools for data analysis: statistical methods known as hazard models that are used for analyzing event-duration data and statistical methods for analyzing hierarchically clustered data known as multilevel models. These developments have rarely been integrated in research practice and the formalization and estimation of models for hierarchically clustered survival data remain largely uncharted. I attempt to fill some of this gap and demonstrate the merits of formulating and estimating multilevel hazard models with longitudinal data.

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Canadian Studies in Population | E-ISSN 1927-629X

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