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http://dx.doi.org/10.1128/AAC.02358-19 | DOI Listing |
Epidemiology
November 2024
From the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
Machine learning techniques for causal effect estimation can enhance the reliability of epidemiologic analyses, reducing their dependence on correct model specifications. However, the stochastic nature of many machine learning algorithms implies that the results derived from such approaches may be influenced by the random seed that is set before model fitting. In this work, we highlight the substantial influence of random seeds on a popular approach for machine learning-based causal effect estimation, namely doubly robust estimators.
View Article and Find Full Text PDFAntimicrob Agents Chemother
January 2020
Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Open Forum Infect Dis
October 2019
Division of Infectious Disease, School of Medicine, Emory University, Atlanta, Georgia, Boston, Massachusetts.
[This corrects the article DOI: 10.1093/ofid/ofz232.].
View Article and Find Full Text PDFOpen Forum Infect Dis
April 2018
Department of Medicine, Division of Infectious Diseases, Emory University School of Medicine, Atlanta, Georgia.
Background: Antiretroviral therapy (ART) for persons with HIV infection prevents tuberculosis (TB) disease. Additionally, sequential ART after initiation of TB treatment improves outcomes. We examined ART use, retention in care, and viral suppression (VS) before, during, and 3 years following TB treatment for an inner-city cohort in the United States.
View Article and Find Full Text PDFAm J Clin Nutr
November 2015
Divisions of Endocrinology, Metabolism and Lipids and Center for Clinical and Molecular Nutrition, Department of Medicine, Emory University School of Medicine, Atlanta, GA; Departments of
Background: Tuberculosis, including multidrug-resistant tuberculosis (MDR-TB), is a major global health problem. Individuals with tuberculosis disease commonly exhibit vitamin D deficiency, which may adversely affect immunity and the response to therapy.
Objective: We determined whether adjunctive high-dose vitamin D3 supplementation improves outcomes in individuals with pulmonary tuberculosis disease.
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