Kinetic Data Analysis

Nonlinear Regression: Principles, Properties and Methods.- An Introduction to Nonlinear Least Squares.- Statistical Properties of Kinetic Estimates.- On Parameter Redundancy in Curve Fitting of Kinetic Data.- Tangential and Curvilinear Coordinates in Nonlinear Regression.- Use of Multiple Linear Regression in the Analysis and Interpretation of Biokinetic Data.- Multivariate Statistical Methods in Pharmacokinetics.- Tests for the Behaviour of Experimental Errors.- Robust Parameter Estimation.- Robust Estimation in Enzyme Kinetics.- Robust Alternatives to Least-Squares Curve Fitting.- Design of Experiments for Kinetic Parameter Estimation.- Design of Experiments for Estimating Enzyme and Pharmacokinetic Parameters.- Experimental Designs for the Distribution-Free Analysis of Enzyme Kinetic Data.- Kinetic Model Identification.- A Priori Identifiability Analysis in Pharmacokinetic Experiment Design.- A Frequency Response Method for Pharmacokinetic Model Identification.- Design and Analysis of Kinetic Experiments for Discrimination between Rival Models.- Combination of Experiments.- Estimation of Pooled Pharmacokinetic Parameters Describing Populations.- Analysis of Sets of Estimates from Pharmacokinetic Studies.- Some Current Problems in the Interpretation of Enzyme Kinetic Data.- Kinetic Data Analysis: Methods and Applications.- Errors Associated with the Determination of the Initial Velocities of Enzyme-Catalyzed Reactions.- Progress Curves in Enzyme Kinetics: Design and Analysis of Experiments.- Applications of Progress Curves in Enzyme Kinetics.- Data Analysis from Michaelis-Menten Kinetics: Ins and Outs.- A Generalized Numerical Deconvolution Procedure for Computing Bioavailability-Time Profiles.- Influence of Variability in Plasma Concentration on Dose Prediction Assuming Michaelis-Menten Kinetics.- Contributor Index.