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Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. The book is designed not only for biopharmaceutical professionals, such as statisticians, safety specialists, pharmacovigilance experts, and pharmacoepidemiologists, who can use the book as self-learning materials or in short courses or training programs, but also for graduate students in statistics and biomedical data science for a one-semester course. Each chapter provides supplements and problems as more readings and exercises.

The book delves into algorithmic trading, covering institutions, mechanisms, market microstructure, high-frequency data, and trading strategies. It examines transaction costs, market impact, risk analysis, and management. The second section focuses on market impact models, network models, multi-asset trading, machine learning techniques, and nonlinear filtering. The third part addresses electronic market making, liquidity, systemic risk, and recent debates. Key topics include the evolution of trading infrastructure, quantitative strategies, statistical arbitrage, and the interdisciplinary nature of the subject. It discusses data analytics, models, and optimization techniques, along with statistical models for quantitative trading, including multifactor pricing models and Bayesian estimators. The text also explores active portfolio management, sources of alpha, transaction costs, and multiperiod portfolio management strategies. Further, it covers econometrics of transactions on electronic platforms, methods for high-frequency data analysis, and limit order book dynamics. Optimal execution strategies, market making, and smart order routing are also discussed, including control formulations and optimization problems. Finally, the book addresses informatics, regulation, risk management, and martingale theory, providing a comprehensive overview of quantitative trading and market behavior.