A three-state continuous time Markov chain model for HIV disease burden
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Publication:5036657
DOI10.1080/02664763.2018.1555573OpenAlexW2904550213MaRDI QIDQ5036657
Akhtar Hossain, Mahbub A. H. M. Latif, Hrishikesh Chakraborty
Publication date: 23 February 2022
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2018.1555573
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Cites Work
- Unnamed Item
- A Bivariate Extension of the Exponential Distribution
- The Analysis of Panel Data Under a Markov Assumption
- A Markov Model for Analysing Cancer Markers and Disease States in Survival Studies
- Analyzing Social Networks As Stochastic Processes
- A Stochastic Model for Censored-Survival Data in the Presence of an Auxiliary Variable
- Stochastic Survival Models with Competing Risks and Covariates
- A semi-markov model for clinical trials
- Estimating the Infinitesimal Generator of a Continuous Time, Finite State Markov Process
- A Multistate Approach for Estimating the Incidence of Human Immunodeficiency Virus by Using Data from a Prevalent Cohort Study
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