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Optimizing the Design of Latent Tuberculosis Treatment Trials: Insights from Mathematical Modeling.
Stout, Jason E; Turner, Nicholas A; Belknap, Robert W; Horsburgh, C Robert; Sterling, Timothy R; Phillips, Patrick P J.
Affiliation
  • Stout JE; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
  • Turner NA; Division of Infectious Diseases and International Health, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
  • Belknap RW; Denver Health and Hospital Authority and Division of Infectious Diseases, Department of Medicine, University of Colorado, Denver, Colorado.
  • Horsburgh CR; Departments of Epidemiology, Biostatistics, Global Health, and Medicine, Boston University Schools of Public Health and Medicine, Boston, Massachusetts.
  • Sterling TR; Division of Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee; and.
  • Phillips PPJ; Department of Medicine, UCSF Center for Tuberculosis, University of California-San Francisco, San Francisco, California.
Am J Respir Crit Care Med ; 201(5): 598-605, 2020 03 01.
Article in En | MEDLINE | ID: mdl-31711306
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Latent Tuberculosis Type of study: Clinical_trials / Diagnostic_studies / Prevalence_studies / Prognostic_studies Limits: Humans Language: En Journal: Am J Respir Crit Care Med Journal subject: TERAPIA INTENSIVA Year: 2020 Type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Latent Tuberculosis Type of study: Clinical_trials / Diagnostic_studies / Prevalence_studies / Prognostic_studies Limits: Humans Language: En Journal: Am J Respir Crit Care Med Journal subject: TERAPIA INTENSIVA Year: 2020 Type: Article