ArticleIranian journal of public health2020
A Comparative Study of Different Joint Modeling Approaches for HIV/AIDS Patients in Southern Iran.
Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 2 citations in OpenAlex.
- Dynamic prediction of adverse outcomes in discharged COPD patients using patient-reported outcomes.BMC medical research methodology · 2026Observational
- Evaluation of factors related to longitudinal CD4 count and the risk of death among HIV-infected patients using Bayesian joint models.BMC public health · 2025Article
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Authors and funding
4 authors at 3 institutions in 1 country.
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Abstract
backgroundThe prevalence of HIV/AIDS has been increasing in Iran, especially amongst the young population, recently. The joint model (JM) is a statistical method that represents an effective strategy to incorporate all information of repeated measurements and survival outcomes simultaneously. In many theoretical studies, the population under the study were heterogeneous. This study aimed at comparing three approaches by considering heterogeneity in the patients.
methodsThis study was conducted on 750 archived files of patients infected with HIV in Fars Province, southern Iran, from 1994 to 2017. Proposed Approach (PA), Joint Latent Class Models (JLCM), and Separated Approach (SA) were compared to evaluate the influence covariates on the longitudinal and time-to-event outcomes in the heterogeneous HIV/AIDS patients.
resultsGender (
conclusionPA was an appropriate approach for joint modeling longitudinal and survival outcomes for this heterogeneous population.
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