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

Research output: Contribution to journalArticle

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.

Bibliographical metadata

Original languageEnglish
Pages (from-to)3154-3156
Number of pages2
JournalAntimicrobial Agents and Chemotherapy
Volume50
Issue number9
DOIs
Publication statusPublished - Sep 2006