Monte Carlo Simulations¶
Roberts, J. A., Kirkpatrick, C. M. J., & Lipman, J. (2011). Monte Carlo Simulations: Maximizing Antibiotic Pharmacokinetic Data to Optimize Clinical Practice for Critically Ill Patients. Journal of Antimicrobial Chemotherapy, 66(2), 227-231.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Exposure–Response Simulation
- Window scoring rule — whether success means "point estimate inside window" or "95% of runs inside," which sets how conservatively regimens are ranked (e.g., probability-of-target-attainment style scoring).
This sourceRanks antibiotic regimens by Monte Carlo probability of attaining a predefined exposure target.
- Window scoring rule — whether success means "point estimate inside window" or "95% of runs inside," which sets how conservatively regimens are ranked (e.g., probability-of-target-attainment style scoring).
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:9f06a87af4aa · see in the full table