Monte Carlo Simulation for the Pharmaceutical Industry : Concepts, Algorithms, and Case Studies (Paperback)

Simulation, Simulation Everywhere Modeling and SimulationIntroductory Monte Carlo ExamplesSimulations in Drug Development Virtual Sampling TechniquesUniform Random Number Generation General Sampling MethodsEfficiency Improvement in Virtual SamplingSampling Algorithms for Specific Distributions Overview of Drug DevelopmentIntroduction Drug DiscoveryPreclinical DevelopmentClinical Development Meta-Simulation for Pharmaceutical IndustryIntroductionGame Theory BasicsPharmaceutical GamesPrescription Drug Global Pricing Macro-Simulation for Pharmaceutical R & DSequential Decision-Making Markov Decision Process Pharmaceutical Decision Process Extension of Markov Decision Process Clinical Trial Simulation (CTS)Classical Trial SimulationAdaptive Trial Simulation Clinical Trial Management and ExecutionIntroduction Clinical Trial Management Patient Recruitment and Projection Randomization Dynamic and Adaptive Drug Supply Statistical Trial Monitoring Prescription Drug CommercializationDynamics of Prescription Drug Marketing Stock-Flow Dynamic Model for Brand Planning Competitive Drug Marketing Strategy Compulsory Licensing and Parallel Importation Molecular Design and SimulationWhy Molecular Design and Simulation Molecular Similarity Search Overview of Molecular Docking Small Molecule Confirmation AnalysisLigand-Receptor Interaction Docking Algorithms Scoring Functions Disease Modeling and Biological Pathway SimulationComputational System BiologyPetri NetsBiological Pathway Simulation Pharmacokinetic SimulationOverview of ADME Absorption Modeling Distribution Metabolism Modeling Excretion Modeling Physiologically Based PK Model Pharmacodynamic SimulationWay to Pharmacodynamics Enzyme Kinetics Pharmacodynamic Models Drug-Drug InteractionApplication of Pharmacodynamic Modeling Monte Carlo for Inference and BeyondSorting AlgorithmResampling MethodsGenetic Programming Appendix A: JavaScript ProgramsAppendix B: K-Stage Adaptive Design Stopping Boundaries Afterword Bibliography A Summary and Exercises appear at the end of each chapter.