What about confidence intervals? A word of caution when interpreting PTA simulations | Zendy

Pieter Colin | Zendy; Douglas J. Eleveld | Zendy; Stijn Jonckheere | Zendy; Jan Van Bocxlaer | Zendy; Jan J. De Waele | Zendy; An Vermeulen | Zendy

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What about confidence intervals? A word of caution when interpreting PTA simulations

Author(s) -

Pieter Colin,

Douglas J. Eleveld,

Stijn Jonckheere,

Jan Van Bocxlaer,

Jan J. De Waele,

An Vermeulen

Publication year - 2016

Publication title -

journal of antimicrobial chemotherapy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.124

H-Index - 194

eISSN - 1460-2091

pISSN - 0305-7453

DOI - 10.1093/jac/dkw150

Subject(s) - population , computer science , confidence interval , antimicrobial stewardship , monte carlo method , uncertainty analysis , field (mathematics) , risk analysis (engineering) , econometrics , operations research , medicine , statistics , mathematics , simulation , antibiotics , antibiotic resistance , environmental health , pure mathematics , microbiology and biotechnology , biology

In the field of antimicrobial chemotherapy, readers are increasingly confronted with population pharmacokinetic models and the ensuing simulation results with the purpose to improve the efficiency of currently used therapeutic regimens. One such type of analysis is Monte Carlo (MC) simulations in support of dose selection. At the moment, results of these MC simulations consist of predictions for the typical individual/population only. The uncertainty associated with the parameters, from which the simulations are derived, is completely ignored. Here, we highlight the importance of and the need to include parameter uncertainty in PTA simulations.

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