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Modeling the incidence rate of hospital re-admissions within 30 days and associated factors among patients with advanced HIV disease in Uganda: comparison of the performance of binary logistic and count regression models.

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Title: Modeling the incidence rate of hospital re-admissions within 30 days and associated factors among patients with advanced HIV disease in Uganda: comparison of the performance of binary logistic and count regression models.
Authors: Mbuliro, Mary1 (AUTHOR) mmbuliro@musph.ac.ug, Kirunda, Barbara Eva1 (AUTHOR), Musimbaggo, Douglas Joseph2 (AUTHOR), Tumwesigye, Nazarius Mbona1 (AUTHOR), Guwatudde, David1 (AUTHOR)
Source: BMC Public Health. 10/17/2025, Vol. 25 Issue 1, p1-11. 11p.
Database: Academic Search Ultimate
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  Data: Modeling the incidence rate of hospital re-admissions within 30 days and associated factors among patients with advanced HIV disease in Uganda: comparison of the performance of binary logistic and count regression models.
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  Data: <searchLink fieldCode="JN" term="%22BMC+Public+Health%22">BMC Public Health</searchLink>. 10/17/2025, Vol. 25 Issue 1, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188777559
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        Value: 10.1186/s12889-025-24791-w
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        Text: English
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      – TitleFull: Modeling the incidence rate of hospital re-admissions within 30 days and associated factors among patients with advanced HIV disease in Uganda: comparison of the performance of binary logistic and count regression models.
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            NameFull: Kirunda, Barbara Eva
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              Text: 10/17/2025
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              Y: 2025
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