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Journal of Applied Statistics Volume 46, 2019 - Issue 9
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Application Note

A three-state continuous time Markov chain model for HIV disease burden

Hrishikesh ChakrabortyDuke Clinical Research Institute, Duke University, Durham, NC, USACorrespondence[email protected]
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,
Akhtar HossainDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USAView further author information
&
Mahbub A.H.M. LatifInstitute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh;Present address: Graduate School of Public Health, St. Luke's International University, Tokyo, JapanView further author information
Pages 1671-1688 | Received 21 Aug 2017, Accepted 30 Nov 2018, Published online: 10 Dec 2018

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Alexa C. Klimchak, Lauren E. Sedita, Katherine L. Gooch & Daniel C. Malone. (2023) Assessing the impact of single or short-term administration on a therapy’s cost-effectiveness: a hypothetical disease-agnostic model. Journal of Medical Economics 26:1, pages 594-602.
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Xu Zhang, Sean Barnes, Bruce Golden & Paul Smith. (2021) A continuous-time Markov model for estimating readmission risk for hospital inpatients. Journal of Applied Statistics 48:1, pages 41-60.
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Articles from other publishers (2)

Akhtar Hossain, Farahnaz Islam & Hrishikesh Chakraborty. (2022) Parametric Regression Model Based on Reversed Hazard Rate: An Application to left censored heavy tailed HIV Viral Load Data. Bulletin of the Malaysian Mathematical Sciences Society 45:S1, pages 567-598.
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Hrishikesh Chakraborty, Akhtar Hossain, Sanku Dey & Sujit K. Ghosh. (2022) Modeling Right-skewed Heavy-tail Right-censored Survival Data with Application to HIV Viral Load. Bulletin of the Malaysian Mathematical Sciences Society 45:S1, pages 365-393.
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