A semiparametric deconvolution model to establish in vivo-in vitro correlation applied to OROS oxybutynin

Journal of Pharmaceutical Sciences

Volumn 90, Issue 6, 2001, Pages 702-712

  Pitsiu, Maria ^a   Sathyan, Gayatri ^b   Gupta, Suneel ^b   Verotta, Davide ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b ALZA CORPORATION   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Clinical study; Controlled release; Linear systems; Validation data

Indexed keywords

OXYBUTYNIN;

ARTICLE; CONTROLLED STUDY; DRUG BIOAVAILABILITY; DRUG CONCENTRATION; HUMAN; HUMAN EXPERIMENT; IN VITRO STUDY; IN VIVO STUDY; LINEAR SYSTEM; MODEL; NORMAL HUMAN; PARAMETER; SUSTAINED DRUG RELEASE;

EID: 0034981697     PISSN: 00223549     EISSN: None     Source Type: Journal    
DOI: 10.1002/jps.1026     Document Type: Article

References (16)

1. Numerical convolution/deconvolution as a tool for correlating in vitro with in vivo drug availability
2. A general framework for non-parametric subject-specific and population deconvolution methods for in vivo in vitro correlation
3. Evidence for site specific presystemic metabolism of oxybutynin following oral administration
4. Stereospecific pharmacokinetics of once-daily controlled release oxybutynin: Dose proportionality
5. Stereo-specific pharmacokinetics of once-daily controlled release oxybutynin: Comparison with immediate release formulation and effect of food
6. Concepts, properties, and applications of linear systems to describe the distribution, indentify input, and control endogenous substances and drugs in biological systems
7. The pharmacokinetics of oxybutynin in man
8. New approaches to self-modeling non-linear regression
9. A new look at the statistical model identification problem
10. Estimating the dimension of a model
11. Rational transfer function approximation
12. Smoothing noisy data with spline functions
13. Estimating bioavailabity when clearance varies with time: The effect of model misspecification