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Antimicrobial Agents and Chemotherapy, November 2006, p. 3950-3952, Vol. 50, No. 11
0066-4804/06/$08.00+0     doi:10.1128/AAC.00337-06
Copyright © 2006, American Society for Microbiology. All Rights Reserved.

Impact of Sample Size on the Performance of Multiple-Model Pharmacokinetic Simulations{triangledown}

Vincent H. Tam,1* Samer Kabbara,1 Rosa F. Yeh,1 and Robert H. Leary2,{dagger}

Department of Clinical Sciences and Administration, University of Houston College of Pharmacy, Houston, Texas,1 Laboratory of Applied Pharmacokinetics, University of Southern California School of Medicine, Los Angeles, California2

Received 20 March 2006/ Returned for modification 31 July 2006/ Accepted 30 August 2006

Monte Carlo simulations are increasingly used to predict pharmacokinetic variability of antimicrobials in a population. We investigated the sample size necessary to provide robust pharmacokinetic predictions. To obtain reasonably robust predictions, a nonparametric model derived from a sample population size of ≥50 appears to be necessary as the input information.

* Corresponding author. Mailing address: University of Houston College of Pharmacy, 1441 Moursund Street, Houston, TX 77030. Phone: (713) 795-8316. Fax: (713) 795-8383. E-mail: vtam{at}uh.edu.

{triangledown} Published ahead of print on 5 September 2006.

{dagger} Present address: Pharsight Corporation, Cary, N.C.

Antimicrobial Agents and Chemotherapy, November 2006, p. 3950-3952, Vol. 50, No. 11
0066-4804/06/$08.00+0     doi:10.1128/AAC.00337-06
Copyright © 2006, American Society for Microbiology. All Rights Reserved.





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