A three-state continuous time Markov chain model for HIV disease burden-Reference-Cited by-同舟云学术

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

Published:2018-12-10 Issue:9 Volume:46 Page:1671-1688
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Chakraborty Hrishikesh¹,Hossain Akhtar²,Latif Mahbub A.H.M.³⁴

Affiliation:

1. Duke Clinical Research Institute, Duke University, Durham, NC, USA

2. Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA

3. Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh

4. Present address: Graduate School of Public Health, St. Luke's International University, Tokyo, Japan

Funder

Duke University Center for AIDS Research

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2018.1555573

Reference37 articles.

1. A Markov model for HIV disease progression including the effect of HIV diagnosis and treatment: Application to AIDS prediction in England and Wales

2. Estimating the Infinitesimal Generator of a Continuous Time, Finite State Markov Process

3. A multistate approach for estimating the incidence of human immunodeficiency virus by using data from a prevalent cohort study

4. Stochastic Survival Models with Competing Risks and Covariates

5. Identification of a Multistate Continuous-Time Nonhomogeneous Markov Chain Model for Patients with Decreased Renal Function

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1. Assessing the impact of single or short-term administration on a therapy’s cost-effectiveness: a hypothetical disease-agnostic model;Journal of Medical Economics;2023-04-23

2. A sequential direct hybrid algorithm to compute stationary distribution of continuous-time Markov chain;Expert Systems with Applications;2022-11

3. 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;2022-09

4. Modeling Right-skewed Heavy-tail Right-censored Survival Data with Application to HIV Viral Load;Bulletin of the Malaysian Mathematical Sciences Society;2022-06-14

5. A continuous-time Markov model for estimating readmission risk for hospital inpatients;Journal of Applied Statistics;2020-01-03

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