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Journal of Biostatistics and Epidemiology، جلد ۲، شماره ۲، صفحات ۲۴-۳۲
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عنوان انگلیسی Multistate transition modeling: An application using hypertension data
چکیده انگلیسی مقاله Background & Aim: Multistate models are systems of multivariate survival data where ndividuals move through a series of distinct states following certain paths of possible transitions. Such models provide a relevant tool for studying observations of a continuous time process at arbitrary times. Methods & Materials: In this article, the application of multistate modeling using hypertension data is demonstrated. The aim was to model the transitions from a healthy (hypertension free) state to an illness (hypertension) state of a hypertensive patient under treatment. Hospital data were obtained for a cohort of 353 patients from Jimma University Hospital, Ethiopia. Three states of the Markov process are defined based on the WHO guideline of high blood pressure. These are: state 1 (BP < 140/90 mmHg), state 2 (BP ≥ 140/90 mmHg) and state 3 (dropout). Results: The first state is termed as a healthy state, the second an illness state and the third one is an absorbing state. Initially, the state transition intensities and state occupation probabilities are estimated with no covariate. Then, the effect of gender and family history of hypertension on the state transition intensities are evaluated separately and jointly using proportional intensities model. Conclusion: The study indicates that gender has a significant effect on the transition intensities but not family history of hypertension.
کلیدواژه‌های انگلیسی مقاله Hypertension,Multistate modeling,Markov process
نویسندگان مقاله awol سید | awol seid
department of statistics, college of computing and informatics, haramaya university, dire dawa, ethiopia
نشانی اینترنتی http://jbe.tums.ac.ir/index.php/jbe/article/view/70
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Article(s)
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