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Monte Carlo Simulation for the Pharmaceutical Industry: Concepts, Algorithms, and Case Studies provides broad coverage of the entire drug development process, from drug discovery to preclinical and clinical trial aspects to commercialization. It presents the theories and metho
Quantitative Methods in Pharmaceutical Research and Development
Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials
Biopharmaceutics Modeling and Simulations
Bayesian Methods in Pharmaceutical Research
Bayesian Applications in Pharmaceutical Development
Statistics In the Pharmaceutical Industry
Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare
Case Studies in Bayesian Methods for Biopharmaceutical CMC
Monte-Carlo Simulation
Artificial Intelligence for Drug Product Lifecycle Applications
Data Science, AI, and Machine Learning in Drug Development
Real World Drug Discovery