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Mathematical Modeling of Pharmacokinetic Data

A concise guide to mathematical modeling and analysis of pharmacokinetic data, this book contains valuable methods for maximizing the;

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Drinking Water and Health, Volume 8

to analyze data and to build models simulating biological phenomena. A summary chapter provides a view of trends in pharmacokinetic modeling;

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Basic Pharmacokinetics

pharmacokinetics and its related fields, the book examines: Mathematical operations commonly used in pharmacokinetics Drug distribution and;

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Physiologically Based Pharmacokinetic (Pbpk) Modeling: Methods and Applications in Toxicology and Risk Assessment

Physiologically Based Pharmacokinetic (PBPK) Modeling: Methods and Applications in Toxicology and Risk Assessment presents foundational;

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Fundamentals of Antimicrobial Pharmacokinetics and Pharmacodynamics

basis of pharmacokinetic-pharmacodynamic modeling concepts it has become possible to describe and predict the time course of antimicrobial;

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Introduction To Population Pharmacokinet

for pharmacokinetic / pharmacodynamic analysis. Introduces requisite background to using Nonlinear Mixed Effects Modeling (NONMEM), covering;

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Predictive Modeling of Drug Sensitivity

mathematical and computational approaches to biological problemsCovers all aspects of drug sensitivity modeling, starting from initial data;

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Physiologically Based Pharmacokinetic (PBPK) Model ing and Simulations

Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulations The first book dedicated to the emerging field of physiologically;

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Computational Toxicology

of computational toxicology and its current and potential applications, the volume continues with 'best practices' in mathematical and computational;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Measurement Data Modeling and Parameter Estimation

Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement;

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Mathematical Modeling in Economics and Finance

the tools of probability theory, difference and differential equations, numerical simulation, data analysis, and mathematical analysis;

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Lead Optimization for Medicinal Chemists

optimization of drug leads, and an exhaustive collection of pharmacokinetic data, arranged according to the structure of the drug, not its target or;

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Mathematical and Numerical Modeling of the Cardiovascular System and Applications

The book comprises contributions by some of the most respected scientists in the field of mathematical modeling and numerical simulation;

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Handbook of Food Process Modeling and Statistical Quality Control

Presenting mathematical prerequisites in summary tables, this book explains fundamental techniques of mathematical modeling processes;

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Expert Trading Systems

increasingly turned to mathematical modeling to develop predictive systems. Kernel regression is a popular data modeling technique that can yield;

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Mathematical Geoenergy

Illustrates model interpolation and extrapolation to fill out missing or indeterminate data Covers both stochastic and deterministic mathematical;

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Mathematical Modeling of Social Relationships

their data analysis toolbox. Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the;

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Quantification of Contrast Kinetics in Clinical Imaging

This book provides a comprehensive survey of the pharmacokinetic models used for the quantitative interpretation of contrast-enhanced;

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Functions, Data, and Models

mathematical modeling rather than the development of algebraic skills that might be needed in calculus. Functions, Data, and Models presents college;

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Handbook of Food Process Modeling and Statistical Quality Control

Fundamental techniques of mathematical modeling of processes essential to the food industry are explained in this text. Instead;

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Mathematical Modeling and Applied Calculus

This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds big picture conceptual understandings;

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Modeling the Heart and the Circulatory System

The book comprises contributions by some of the most respected scientists in the field of mathematical modeling and numerical simulation;

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Modern Methods for Business Research

in a particular subject area--is to provide an understanding of each method with a minimum of mathematical derivations. The chapters are;

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Data Networks

principles behind data networks. *then develops an understanding of the modeling issues and mathematical analysis needed to compare the effectiveness;

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A First Course in Mathematical Modeling

select models, and figure out what data needs to be collected. By involving you in the mathematical process as early as possible -- beginning;

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Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a;

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