By Jixian Wang
Discover the newest Statistical methods for Modeling Exposure-Response Relationships
Written through an utilized statistician with wide useful event in drug improvement, Exposure-Response Modeling: tools and functional Implementation explores quite a lot of subject matters in exposure-response modeling, from conventional pharmacokinetic-pharmacodynamic (PKPD) modeling to different parts in drug improvement and past. It accommodates quite a few examples and software program courses for enforcing novel methods.
The e-book describes utilizing size blunders types to regard sequential modeling, becoming versions with publicity and reaction pushed through complicated dynamics, and survival research with dynamic publicity background. It additionally covers Bayesian research and model-based Bayesian determination research, causal inference to put off confounding biases, and exposure-response modeling with response-dependent dose/treatment changes (dynamic remedy regimes) for custom-made medication and remedy adaptation.
Many examples illustrate using exposure-response modeling in experimental toxicology, medical pharmacology, epidemiology, and drug protection. a few examples reveal how one can resolve useful difficulties whereas others support with figuring out innovations and comparing the functionality of recent tools. The supplied SAS and R codes permit readers to check the techniques of their personal eventualities.
Although software orientated, this ebook additionally offers a scientific remedy of innovations and technique. utilized statisticians and modelers can locate info on tips to enforce new methods. Researchers can locate issues for or functions in their paintings. moreover, scholars can see how advanced technique and types are utilized to sensible situations.