Literature DB >> 8210819

Use of the Gibbs sampler to estimate transition rates between grades of coronary disease following cardiac transplantation.

L D Sharples1.   

Abstract

Coronary occlusive disease following cardiac transplantation is monitored using serial angiography, and graded on a 3 point scale according to the amount of narrowing observed in major vessels. Disease progression is modelled as a continuous time Markov process. The Gibbs sampler is used to estimate the marginal posterior distributions of the transition rates between grades of disease and from each grade to death.

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Year:  1993        PMID: 8210819     DOI: 10.1002/sim.4780121205

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  8 in total

1.  Bayesian Semi-parametric Analysis of Semi-competing Risks Data: Investigating Hospital Readmission after a Pancreatic Cancer Diagnosis.

Authors:  Kyu Ha Lee; Sebastien Haneuse; Deborah Schrag; Francesca Dominici
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2015-02-01       Impact factor: 1.864

2.  Risk Factor Identification in Heterogeneous Disease Progression with L1-Regularized Multi-state Models.

Authors:  Xuan Dang; Shuai Huang; Xiaoning Qian
Journal:  J Healthc Inform Res       Date:  2021-01-04

3.  Bayesian inference for an illness-death model for stroke with cognition as a latent time-dependent risk factor.

Authors:  Ardo van den Hout; Jean-Paul Fox; Rinke H Klein Entink
Journal:  Stat Methods Med Res       Date:  2011-11-11       Impact factor: 3.021

4.  5-year versus risk-category-specific screening intervals for cardiovascular disease prevention: a cohort study.

Authors:  Joni V Lindbohm; Pyry N Sipilä; Nina J Mars; Jaana Pentti; Sara Ahmadi-Abhari; Eric J Brunner; Martin J Shipley; Archana Singh-Manoux; Adam G Tabak; Mika Kivimäki
Journal:  Lancet Public Health       Date:  2019-04

5.  Cognitive Reserve and Mild Cognitive Impairment: Predictors and Rates of Reversion to Intact Cognition vs Progression to Dementia.

Authors:  Maryam Iraniparast; Yidan Shi; Ying Wu; Leilei Zeng; Colleen J Maxwell; Richard J Kryscio; Philip D St John; Karen S SantaCruz; Suzanne L Tyas
Journal:  Neurology       Date:  2022-02-04       Impact factor: 9.910

6.  Longitudinal transition of body mass index status and its associated factors among Chinese middle-aged and older adults in Markov model.

Authors:  Heming Pei; Ning Kang; Chao Guo; Yalu Zhang; Haitao Chu; Gong Chen; Lei Zhang
Journal:  Front Public Health       Date:  2022-08-04

7.  Estimating dementia-free life expectancy for Parkinson's patients using Bayesian inference and microsimulation.

Authors:  Ardo van den Hout; Fiona E Matthews
Journal:  Biostatistics       Date:  2009-07-31       Impact factor: 5.899

8.  Estimation of progression of multi-state chronic disease using the Markov model and prevalence pool concept.

Authors:  Hui-Chuan Shih; Pesus Chou; Chi-Ming Liu; Tao-Hsin Tung
Journal:  BMC Med Inform Decis Mak       Date:  2007-11-09       Impact factor: 2.796

  8 in total

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