Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/3284
DC Field | Value | Language |
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dc.contributor.author | Mardhiah K. | en_US |
dc.contributor.author | Wan-Arfah, N | en_US |
dc.contributor.author | Naing, NN | en_US |
dc.contributor.author | Hassan, M | en_US |
dc.contributor.author | Chan, HK | en_US |
dc.date.accessioned | 2022-09-07T07:29:06Z | - |
dc.date.available | 2022-09-07T07:29:06Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 19957645 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/3284 | - |
dc.description | Web of Science / Scopus | en_US |
dc.description.abstract | Objective: To compare the prognostic factors of mortality among melioidosis patients between lognormal accelerated failure time (AFT), Cox proportional hazards (PH), and Cox PH with timevarying coefficient (TVC) models. Methods: A retrospective study was conducted from 2014 to 2019 among 453 patients who were admitted to Hospital Sultanah Bahiyah, Kedah and Hospital Tuanku Fauziah, Perlis in Northern Malaysia due to confirmed-cultured melioidosis. The prognostic factors of mortality from melioidosis were obtained from AFT survival analysis, and Cox s models and the findings were compared by using the goodness of fit methods. The analyses were done by using Stata SE version 14.0. Results: A total of 242 patients (53.4%) survived. In this study, the median survival time of melioidosis patients was 30.0 days (95% CI 0.0-60.9). Six significant prognostic factors were identified in the Cox PH model and Cox PH-TVC model. In AFT survival analysis, a total of seven significant prognostic factors were identified. The results were found to be only a slight difference between the identified prognostic factors among the models. AFT survival showed better results compared to Cox's models, with the lowest Akaike information criteria and best fitted Cox-snell residuals. Conclusions: AFT survival analysis provides more reliable results and can be used as an alternative statistical analysis for determining the prognostic factors of mortality in melioidosis patients in certain situations. | en_US |
dc.publisher | Wolters Kluwer Medknow Publications | en_US |
dc.relation.ispartof | Asian Pacific Journal of Tropical Medicine | en_US |
dc.subject | Accelerated failure time survival analysis | en_US |
dc.subject | Cox proportional hazards; | en_US |
dc.subject | Lognormal | en_US |
dc.title | Comparison of Cox proportional hazards model, Cox proportional hazards with time-varying coefficients model, and lognormal accelerated failure time model: Application in time to event analysis of melioidosis patients | en_US |
dc.type | International | en_US |
dc.identifier.doi | 10.4103/1995-7645.340568 | - |
dc.description.page | 128 - 134 | en_US |
dc.volume | 15(3) | en_US |
dc.description.type | Article | en_US |
dc.description.impactfactor | 3.041 | en_US |
dc.description.quartile | Q2 | en_US |
item.grantfulltext | open | - |
item.openairetype | International | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | University Malaysia Kelantan, Malaysia | - |
Appears in Collections: | Faculty of Entrepreneurship and Business - Journal (Scopus/WOS) |
Files in This Item:
File | Description | Size | Format | |
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AsianPacJTropMed153128-1530818_041508.pdf | 417.89 kB | Adobe PDF | View/Open |
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