Introduction to population pharmacokinetic/pharmacodynamic analysis with nonlinear mixed effects models / Joel S. Owen, Jill Fiedler-Kelly.

Format:

Book

Author/Creator:

Owen, Joel S., author.

Fiedler-Kelly, Jill, author.

Language:

English

Subjects (All):

Pharmacokinetics.

Physical Description:

1 online resource (319 p.)

Edition:

1st ed.

Place of Publication:

Hoboken, New Jersey : Wiley, 2014.

Summary:

"This useful guide helps pharmaceutical scientists and students learn the requisite information needed to perform mixed effect modeling of pharmacologic data using the NONMEM software package"--Provided by publisher.

Contents:

Introduction to Population Pharmacokinetic/Pharmacodynaic Analysis with Nonlinear Mixed Effects Models; Copyright; Contents; Preface; CHAPTER 1 The Practice of Pharmacometrics; 1.1 Introduction; 1.2 Applications of Sparse Data Analysis; 1.3 Impact of Pharmacometrics; 1.4 Clinical Example; References; CHAPTER 2 Population Model Concepts and Terminology; 2.1 Introduction; 2.2 Model elements; 2.3 Individual Subject Models; 2.4 Population Models; 2.4.1 Fixed-Effect Parameters; 2.4.2 Random-Effect Parameters; 2.5 Models of Random Between-Subject Variability (L1); 2.5.1 Additive Variation

2.5.2 Constant Coefficient of Variation2.5.3 Exponential Variation; 2.5.4 Modeling Sources of Between-Subject Variation; 2.6 Models of Random Variability in Observations (L2); 2.6.1 Additive Variation; 2.6.2 Constant Coefficient of Variation; 2.6.3 Additive Plus CCV Model; 2.6.4 Log-Error Model; 2.6.5 Relationship Between RV Expressions and Predicted Concentrations; 2.6.6 Significance of the Magnitude of RV; 2.7 Estimation Methods; 2.8 Objective Function; 2.9 Bayesian Estimation; References; CHAPTER 3 NONMEM Overview and Writing an NM-TRANControl Stream; 3.1 Introduction

3.2 Components of the NONMEM System3.3 General Rules; 3.4 Required Control Stream Components; 3.4.1 PROBLEM Record; 3.4.2 The DATA Record; 3.4.3 The INPUT Record; 3.5 Specifying the Model in NM-TRAN; 3.5.1 Calling PREDPP Subroutines for Specific PK Models; 3.5.2 Specifying the Model in the PK Block; 3.5.3 Specifying Residual Variability in the ERROR Block; 3.5.4 Specifying Models Using the PRED Block; 3.6 Specifying Initial Estimates with THETA, OMEGA, and SIGMA; 3.7 Requesting Estimation and Related Options; 3.8 Requesting Estimates of the Precision of Parameter Estimates

3.9 Controlling the OutputReferences; CHAPTER 4 Datasets; 4.1 Introduction; 4.2 Arrangement of the Dataset; 4.3 Variables of the Dataset; 4.3.1 TIME; 4.3.2 DATE; 4.3.3 ID; 4.3.4 DV; 4.3.5 MDV; 4.3.6 CMT; 4.3.7 EVID; 4.3.8 AMT; 4.3.9 RATE; 4.3.10 ADDL; 4.3.11 II; 4.3.12 SS; 4.4 Constructing Datasets with Flexibility to Apply Alternate Models; 4.5 Examples of Event Records; 4.5.1 Alternatives for Specifying Time; 4.5.2 Infusions and Zero-Order Input; 4.5.3 Using ADDL; 4.5.4 Steady-State Approach; 4.5.5 Samples Before and After Achieving Steady State

4.5.6 Unscheduled Doses in a Steady-State Regimen4.5.7 Steady-State Dosing with an Irregular Dosing Interval; 4.5.8 Multiple Routes of Administration; 4.5.9 Modeling Multiple Dependent Variable Data Types; 4.5.10 Dataset for PRED; 4.6 Beyond Doses and Observations; 4.6.1 Other Data Items; 4.6.2 Covariate Changes over Time; 4.6.3 Inclusion of a Header Row; References; CHAPTER 5 Model Building: Typical Process; 5.1 Introduction; 5.2 Analysis Planning; 5.3 Analysis Dataset Creation; 5.4 Dataset Quality Control; 5.5 Exploratory Data Analysis; 5.5.1 EDA: Population Description

5.5.2 EDA: Dose-Related Data

Notes:

Description based upon print version of record.

Includes bibliographical references and index at the end of each chapters.

Description based on print version record.

ISBN:

9781118784617

1118784618

9781118784860

1118784863

9781118784679

1118784677

OCLC:

869367782