ISBN: 9781032596259 - dose-exposure-response modeling: methods and practical implementation (chapman & hall/crc biostatistics series) (22 resultados)

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Hardback. Condición: New. This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modeling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten, including an updated Bayesian analysis and modeling chapter with new materials on ap-proximate Bayesian modeling with misspecified models, Bayesian bootstrap for the "cut-the-feedback" approach, and meta-regression with Stan codes for implementation. Two new chapters in this edition include one on causal DER modeling, with an introduction to the concept of causal DER relationship, approaches such as the generalized propensity score and instrumental/control function approaches for adjustment for observed and un-observed confounders, and Bayesian causal DER modeling. Another new chapter is dedicated to learning DER relationships with the concept and methods of machine learning, including applications to adaptive dose finding trials by bandits, contextual bandits, and Thompson sampling with Bayesian bootstrap, adaptive control for tracking using a dynamic model with an application for individual warfarin dosing. The new appendix contains non-standard materials used in the book.Applied statisticians and modelers can find details on how to implement new approaches, while researchers can find topics for or applications of their work. In addition, students can see how complicated methodology and models are applied to practical situations.Key Features:Provides SAS, R, and Stan codes that will enable readers to test the approaches in their own scenarios.Gives a systematic treatment of concepts and methodology.Helps with understanding concepts and evaluating the performance of new methods, particularly those in Chapters 7, 8, and 9.Includes a large amount of R codes for methods introduced in the new materials in chapters on Bayesian analyses, causal inference, and dose-adjustment.Includes a simulation to show how some complex methods such as generalized propensity score adjustment and adaptive dose adjustment can be implemented with simple codes.…

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Hardback. Condición: New. This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modeling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten, including an updated Bayesian analysis and modeling chapter with new materials on ap-proximate Bayesian modeling with misspecified models, Bayesian bootstrap for the "cut-the-feedback" approach, and meta-regression with Stan codes for implementation. Two new chapters in this edition include one on causal DER modeling, with an introduction to the concept of causal DER relationship, approaches such as the generalized propensity score and instrumental/control function approaches for adjustment for observed and un-observed confounders, and Bayesian causal DER modeling. Another new chapter is dedicated to learning DER relationships with the concept and methods of machine learning, including applications to adaptive dose finding trials by bandits, contextual bandits, and Thompson sampling with Bayesian bootstrap, adaptive control for tracking using a dynamic model with an application for individual warfarin dosing. The new appendix contains non-standard materials used in the book.Applied statisticians and modelers can find details on how to implement new approaches, while researchers can find topics for or applications of their work. In addition, students can see how complicated methodology and models are applied to practical situations.Key Features:Provides SAS, R, and Stan codes that will enable readers to test the approaches in their own scenarios.Gives a systematic treatment of concepts and methodology.Helps with understanding concepts and evaluating the performance of new methods, particularly those in Chapters 7, 8, and 9.Includes a large amount of R codes for methods introduced in the new materials in chapters on Bayesian analyses, causal inference, and dose-adjustment.Includes a simulation to show how some complex methods such as generalized propensity score adjustment and adaptive dose adjustment can be implemented with simple codes.…

Hardcover. Condición: new. Hardcover. This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modeling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten, including an updated Bayesian analysis and modeling chapter with new materials on ap-proximate Bayesian modeling with misspecified models, Bayesian bootstrap for the "cut-the-feedback" approach, and meta-regression with Stan codes for implementation. Two new chapters in this edition include one on causal DER modeling, with an introduction to the concept of causal DER relationship, approaches such as the generalized propensity score and instrumental/control function approaches for adjustment for observed and un-observed confounders, and Bayesian causal DER modeling. Another new chapter is dedicated to learning DER relationships with the concept and methods of machine learning, including applications to adaptive dose finding trials by bandits, contextual bandits, and Thompson sampling with Bayesian bootstrap, adaptive control for tracking using a dynamic model with an application for individual warfarin dosing. The new appendix contains non-standard materials used in the book.Applied statisticians and modelers can find details on how to implement new approaches, while researchers can find topics for or applications of their work. In addition, students can see how complicated methodology and models are applied to practical situations.Key Features:Provides SAS, R, and Stan codes that will enable readers to test the approaches in their own scenarios.Gives a systematic treatment of concepts and methodology.Helps with understanding concepts and evaluating the performance of new methods, particularly those in Chapters 7, 8, and 9.Includes a large amount of R codes for methods introduced in the new materials in chapters on Bayesian analyses, causal inference, and dose-adjustment.Includes a simulation to show how some complex methods such as generalized propensity score adjustment and adaptive dose adjustment can be implemented with simple codes. This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modelling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Jixian Wang is a statistical methodologist in Bristol Myers Squibb, Switzerland. He has worked on drug development for over twenty years and was an academic researcher before joining the pharmaceutical industry. His research interests include stat.…

Hardcover. Condición: new. Hardcover. This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modeling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten, including an updated Bayesian analysis and modeling chapter with new materials on ap-proximate Bayesian modeling with misspecified models, Bayesian bootstrap for the "cut-the-feedback" approach, and meta-regression with Stan codes for implementation. Two new chapters in this edition include one on causal DER modeling, with an introduction to the concept of causal DER relationship, approaches such as the generalized propensity score and instrumental/control function approaches for adjustment for observed and un-observed confounders, and Bayesian causal DER modeling. Another new chapter is dedicated to learning DER relationships with the concept and methods of machine learning, including applications to adaptive dose finding trials by bandits, contextual bandits, and Thompson sampling with Bayesian bootstrap, adaptive control for tracking using a dynamic model with an application for individual warfarin dosing. The new appendix contains non-standard materials used in the book.Applied statisticians and modelers can find details on how to implement new approaches, while researchers can find topics for or applications of their work. In addition, students can see how complicated methodology and models are applied to practical situations.Key Features: Provides SAS, R, and Stan codes that will enable readers to test the approaches in their own scenarios. Gives a systematic treatment of concepts and methodology. Helps with understanding concepts and evaluating the performance of new methods, particularly those in Chapters 7, 8, and 9. Includes a large amount of R codes for methods introduced in the new materials in chapters on Bayesian analyses, causal inference, and dose-adjustment. Includes a simulation to show how some complex methods such as generalized propensity score adjustment and adaptive dose adjustment can be implemented with simple codes. This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modelling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This thoroughly revised and updated new edition reflects the progress that has been made in dose-exposure-response (DER) modelling. As the title suggests, the new edition covers more topics on dose and dose adjustment. A large part of the book has been rewritten.…