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Use of nonlinear mixed-effects analysis for improved precision of early pharmacodynamic measures in tuberculosis treatment

    Research output: Contribution to journal › Article › peer-review

    Abstract

    Nonlinear mixed-effects analysis of serial sputum colony-counting data supports the existence of two bacillary subpopulations in sputum, eliminated at different rates. It distinguishes between combination regimens, removes bias, and greatly improves precision, with significant implications for the analysis of surrogate endpoints of "sterilization" in the development of new antituberculosis regimens. Copyright © 2006, American Society for Microbiology. All Rights Reserved.
    Original languageEnglish
    Pages (from-to)3154-3156
    Number of pages2
    JournalAntimicrobial Agents and Chemotherapy
    Volume50
    Issue number9
    DOIs
    Publication statusPublished - Sept 2006

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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