Kenneth G. Kowalski

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Currently, no general methods have been developed to relate pharmacologically based models, such as indirect response models, to discrete or ordered categorical data. We propose the use of an unobservable latent variable (LV), through which indirect response models can be linked with drug exposure. The resulting indirect latent variable response model(More)
The idea of model-based drug development championed by Lewis Sheiner, in which pharmacostatistical models of drug efficacy and safety are developed from preclinical and available clinical data, offers a quantitative approach to improving drug development and development decision-making. Examples are presented that support this paradigm. The first example(More)
Absorption and disposition of bidisomide were studied in 12 healthy male subjects after a 20-min iv (1 mg/kg; N = 6) infusion and oral (2 mg/kg; N = 6) administration of the 14C-labeled drug. The oral absorption profile of unlabeled bidisomide was also studied after administration of a solution by a nasoenteric tube to different sites of the(More)
Malaz Abu Tarif Eric Aboagye Hisaka Akihiro Takashi Amisaki Melvin E. Andersen A. Bailer James Bailey Ludger Banken H. Banks James Bassingthwaighte Laurence Baxter Stuart L. Beal Misba Beerahee Bradley Bell J. Bennett D. Berk A. John Bailer Robert Bies Sven Björkman Alan Boddy Fredric Bois Peter Bonate F. Douglas Boudinot Michael Brier Richard Brundage(More)
When data fail to support fully mechanistic models, alternative modeling strategies must be pursued. Simpler, more empirical models or the fixing of various rate constants are necessary to avoid over-parameterization. Fitting empirical models can dilute information, limit interpretation, and cloud inference. Fixing rate constants requires external,(More)
Vigabatrin is an irreversible inhibitor of γ-aminobutyric acid transaminase (GABA-T) and is used as an adjunctive therapy for adult patients with refractory complex partial seizures (rCPS). The purpose of this investigation was to describe the relationship between vigabatrin dosage and daily seizure rate for adults and children with rCPS and identify(More)
Covariate selection is an activity routinely performed during pharmacometric analysis. Many are familiar with the stepwise procedures, but perhaps not as many are familiar with some of the issues associated with such methods. Recently, attention has focused on selection procedures that do not suffer from these issues and maintain good predictive properties.(More)
BACKGROUND AND OBJECTIVES Vigabatrin is an inhibitor of γ-aminobutyric acid transaminase. The purpose of these analyses was to develop a population pharmacokinetics model to characterize the vigabatrin concentration-time profile for adults and children with refractory complex partial seizures (rCPS) and for children with infantile spasms (IS); to identify(More)
We predicted vigabatrin dosages for adjunctive therapy for pediatric patients with refractory complex partial seizures (rCPS) that would produce efficacy comparable to that observed for approved adult dosages. A dose-response model related seizure-count data to vigabatrin dosage to identify dosages for pediatric rCPS patients. Seizure-count data were(More)
We propose an efficient algorithm for screening covariates in population model building using Wald's approximation to the likelihood ratio test (LRT) statistic in conjunction with Schwarz's Bayesian criterion. The algorithm can be applied to a full model fit of k covariate parameters to calculate the approximate LRT for all 2k−1 possible restricted models.(More)