Exposure-Response Modeling: Methods and Practical Implementation

ISBN-13: 9780367738044 / Angielski / Miękka / 2020 / 351 str.

Jixian Wang

Opis

This book explores a wide range of topics in exposure-response modeling, from traditional PKPD modeling to other areas in drug development and beyond. It incorporates numerous examples and software programs for implementing novel methods. The book emphasizes dose adjustment and treatment adaptation based on dynamic exposure-response models, illu

Spis treści

Introduction. Basic exposure and exposure-response models. Dose-exposure and exposure-response models for longitudinal data. Sequential and simultaneous exposure-response modeling. Exposure-risk modeling for time-to-event data. Modeling dynamic exposure-response relationships. Bayesian modeling and model-based decision analysis. Confounding bias and causal inference in exposure-response modeling. Dose-response relationship, dose determination, and adjustment. Implementation using software. Appendix. Bibliography. Index.

O autorze

Jixian Wang is a principal statistician at Celgene International, Switzerland. He worked on drug development for 14 years at GSK and Novartis Pharma and was an academic researcher at Edinburgh University and Dundee University, where he is still an honorary research fellow. His research interests include statistical methodology and its applications to real problems in pharmaceuticals, including exposure-safety, PKPD modeling, treatment/dose selection, health economics, benefit-risk and health technology assessments, and optimal trial design.