dc.contributor.author | Giganti, M.J. | |
dc.contributor.author | Luz, P.M. | |
dc.contributor.author | Caro-Vega, Y. | |
dc.contributor.author | Cesar, C. | |
dc.contributor.author | Padgett, D. | |
dc.contributor.author | Koenig, S. | |
dc.contributor.author | Echevarria Zarate, Juan Ignacio | |
dc.contributor.author | McGowan, C.C. | |
dc.contributor.author | Shepherd, B.E. | |
dc.date.accessioned | 2019-02-22T14:54:29Z | |
dc.date.available | 2019-02-22T14:54:29Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12866/5647 | |
dc.description.abstract | Many studies of HIV/AIDS aggregate data from multiple cohorts to improve power and generalizability. There are several analysis approaches to account for cross-cohort heterogeneity; we assessed how different approaches can impact results from an HIV/AIDS study investigating predictors of mortality. Using data from 13,658 HIV-infected patients starting antiretroviral therapy from seven Latin American and Caribbean cohorts, we illustrate the assumptions of seven readily implementable approaches to account for across cohort heterogeneity with Cox proportional hazards models, and we compare hazard ratio estimates across approaches. As a sensitivity analysis, we modify cohort membership to generate specific heterogeneity conditions. Hazard ratio estimates varied slightly between the seven analysis approaches, but differences were not clinically meaningful. Adjusted hazard ratio estimates for the association between AIDS at treatment initiation and death varied from 2.00 to 2.20 across approaches that accounted for heterogeneity; the adjusted hazard ratio was estimated as 1.73 in analyses that ignored across cohort heterogeneity. In sensitivity analyses with more extreme heterogeneity, we noted a slightly greater distinction between approaches. Despite substantial heterogeneity between cohorts, the impact of the specific approach to account for heterogeneity was minimal in our case study. Our results suggest that it is important to account for across cohort heterogeneity in analyses, but that the specific technique for addressing heterogeneity may be less important. Because of their flexibility in accounting for cohort heterogeneity, we prefer stratification or meta-analysis methods, but we encourage investigators to consider their specific study conditions and objectives. | en_US |
dc.language.iso | eng | |
dc.publisher | Mary Ann Liebert | |
dc.relation.ispartofseries | AIDS Research and Human Retroviruses | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | Peru | en_US |
dc.subject | Adolescent | en_US |
dc.subject | Adult | en_US |
dc.subject | Female | en_US |
dc.subject | HIV Infections | en_US |
dc.subject | Humans | en_US |
dc.subject | Male | en_US |
dc.subject | Young Adult | en_US |
dc.subject | Caribbean | en_US |
dc.subject | Latin America | en_US |
dc.subject | Brazil | en_US |
dc.subject | Cohort Studies | en_US |
dc.subject | Treatment Outcome | en_US |
dc.subject | epidemiology | en_US |
dc.subject | Caribbean Region | en_US |
dc.subject | Argentina | en_US |
dc.subject | Anti-Retroviral Agents | en_US |
dc.subject | mortality | en_US |
dc.subject | Mexico | en_US |
dc.subject | human | en_US |
dc.subject | adult | en_US |
dc.subject | comparative study | en_US |
dc.subject | female | en_US |
dc.subject | male | en_US |
dc.subject | young adult | en_US |
dc.subject | Article | en_US |
dc.subject | cohort analysis | en_US |
dc.subject | Human immunodeficiency virus infection | en_US |
dc.subject | priority journal | en_US |
dc.subject | treatment outcome | en_US |
dc.subject | major clinical study | en_US |
dc.subject | adolescent | en_US |
dc.subject | Chile | en_US |
dc.subject | South and Central America | en_US |
dc.subject | procedures | en_US |
dc.subject | observational study | en_US |
dc.subject | Epidemiologic Methods | en_US |
dc.subject | sensitivity analysis | en_US |
dc.subject | case study | en_US |
dc.subject | Haiti | en_US |
dc.subject | Honduras | en_US |
dc.subject | antiretrovirus agent | en_US |
dc.subject | hazard ratio | en_US |
dc.subject | anti human immunodeficiency virus agent | en_US |
dc.subject | proportional hazards model | en_US |
dc.subject | nonnucleoside reverse transcriptase inhibitor | en_US |
dc.subject | biostatistics | en_US |
dc.subject | Biostatistics | en_US |
dc.subject | fixed effect approach | en_US |
dc.subject | Human immunodeficiency virus proteinase inhibitor | en_US |
dc.subject | meta analysis approach | en_US |
dc.subject | naive approach | en_US |
dc.subject | random cohort approach | en_US |
dc.subject | random effect approach | en_US |
dc.subject | robust marginal approach | en_US |
dc.subject | stratified approach | en_US |
dc.subject | treatment effect approach | en_US |
dc.title | A comparison of seven cox regression-based models to account for heterogeneity across multiple HIV treatment cohorts in Latin America and the Caribbean | en_US |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | https://doi.org/10.1089/aid.2014.0241 | |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#3.03.08 | |
dc.relation.issn | 1931-8405 |
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