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Dear Julie:
Why use Winnonlin? Why not look around around and discuss the
same topics, along with clinical applications, and the strengths and
weaknesses of various software approaches? Winnonlin is not the
optimal software package for what you have in mind. What will you
really do with the models you make? You might consider using
nonparametric approaches to pop modeling, which have the natural
application to multiple model dosage design, which hits selected
target therapeutic targets most precisely.
You might look at:
Bustad A, Terziivanov D, Leary R, Port R, Schumitzky A, and Jelliffe
R: Parametric and Nonparametric Population Methods: Their Comparative
Performance in Analysing a Clinical Data Set and Two Monte Carlo
Simulation Studies. Clin. Pharmacokinet., 45: 365-383, 2006.
Jelliffe R, Bayard D, Milman M, Van Guilder M, and Schumitzky A:
Achieving Target Goals most Precisely using Nonparametric
Compartmental Models and "Multiple Model" Design of Dosage Regimens.
Therap. Drug Monit. 22: 346-353, 2000.
Bayard D, and Jelliffe R: A Bayesian Approach to Tracking Patients
having Changing Pharmacokinetic Parameters. J. Pharmacokin.
Pharmacodyn. 31 (1): 75-107, 2004.
Macdonald I, Staatz C, Jelliffe R, and Thomson A: Evaluation and
Comparison of Simple Multiple Model, Richer Data Multiple Model, and
Sequential Interacting Multiple Model (IMM) Bayesian Analyses of
Gentamicin and Vancomycin Data Collected From Patients Undergoing
Cardiothoracic Surgery. Ther. Drug Monit. 30:67-74, 2008.
Very best regards,
Roger Jelliffe
Roger W. Jelliffe, M.D. Professor of Medicine,
Division of Geriatric Medicine,
Laboratory of Applied Pharmacokinetics,
USC Keck School of Medicine
2250 Alcazar St, Los Angeles CA 90033, USA
Our web site= http://www.lapk.org
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