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• W2153619104 abstract "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." @default.
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• W2153619104 date "2006-09-01" @default.
• W2153619104 modified "2023-09-26" @default.
• W2153619104 title "Use of Nonlinear Mixed-Effects Analysis for Improved Precision of Early Pharmacodynamic Measures in Tuberculosis Treatment" @default.
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• W2153619104 doi "https://doi.org/10.1128/aac.00774-05" @default.
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