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Port-City Interplays in China (Paperback): James Jixian Wang Port-City Interplays in China (Paperback)
James Jixian Wang
R1,433 Discovery Miles 14 330 Ships in 12 - 17 working days

China has progressed dramatically since 1978 when the country started its economic reforms and opened up to the world economy. It took only three decades for China to develop from a closed, centrally planned economy with little sea-borne trade into the world's second largest economy with the largest container shipment volume in the world. The major coastal cities have been gateways linking China with the world and have experienced rapid urbanization and port growth. How has such port growth been speeded up and realized under strong state control and intervention? How have ports and their cities affected each other? What lessons can China's port-cities learn from other countries, regions and cities? What will be the next stage of port-city interplays in China in this globalizing era? Answering these questions from a geographical perspective, James Wang looks into four sets of port-city relations in China: Economic and functional relations between port and city; port-city spatial relations; external network relations of cities through ports; and port-city governance. These relations formulate a conceptual framework which is used to interpret port-city interplays in individual ports and cities but also in multi-port regions such as the Pearl River Delta. Based on the author's own research and investigations into more than 25 port cities in China over the past 18 years, this book provides vivid stories about China and challenge existing theories on port development.

Port-City Interplays in China (Hardcover, New Ed): James Jixian Wang Port-City Interplays in China (Hardcover, New Ed)
James Jixian Wang
R3,883 Discovery Miles 38 830 Ships in 12 - 17 working days

China has progressed dramatically since 1978 when the country started its economic reforms and opened up to the world economy. It took only three decades for China to develop from a closed, centrally planned economy with little sea-borne trade into the world's second largest economy with the largest container shipment volume in the world. The major coastal cities have been gateways linking China with the world and have experienced rapid urbanization and port growth. How has such port growth been speeded up and realized under strong state control and intervention? How have ports and their cities affected each other? What lessons can China's port-cities learn from other countries, regions and cities? What will be the next stage of port-city interplays in China in this globalizing era? Answering these questions from a geographical perspective, James Wang looks into four sets of port-city relations in China: Economic and functional relations between port and city; port-city spatial relations; external network relations of cities through ports; and port-city governance. These relations formulate a conceptual framework which is used to interpret port-city interplays in individual ports and cities but also in multi-port regions such as the Pearl River Delta. Based on the author's own research and investigations into more than 25 port cities in China over the past 18 years, this book provides vivid stories about China and challenge existing theories on port development.

Exposure-Response Modeling - Methods and Practical Implementation (Paperback): Jixian Wang Exposure-Response Modeling - Methods and Practical Implementation (Paperback)
Jixian Wang
R1,399 Discovery Miles 13 990 Ships in 12 - 17 working days

Discover the Latest Statistical Approaches for Modeling Exposure-Response Relationships Written by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response modeling, from traditional pharmacokinetic-pharmacodynamic (PKPD) modeling to other areas in drug development and beyond. It incorporates numerous examples and software programs for implementing novel methods. The book describes using measurement error models to treat sequential modeling, fitting models with exposure and response driven by complex dynamics, and survival analysis with dynamic exposure history. It also covers Bayesian analysis and model-based Bayesian decision analysis, causal inference to eliminate confounding biases, and exposure-response modeling with response-dependent dose/treatment adjustments (dynamic treatment regimes) for personalized medicine and treatment adaptation. Many examples illustrate the use of exposure-response modeling in experimental toxicology, clinical pharmacology, epidemiology, and drug safety. Some examples demonstrate how to solve practical problems while others help with understanding concepts and evaluating the performance of new methods. The provided SAS and R codes enable readers to test the approaches in their own scenarios. Although application oriented, this book also gives a systematic treatment of concepts and methodology. Applied statisticians and modelers can find details on how to implement new approaches. 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.

Exposure-Response Modeling - Methods and Practical Implementation (Hardcover): Jixian Wang Exposure-Response Modeling - Methods and Practical Implementation (Hardcover)
Jixian Wang
R3,204 Discovery Miles 32 040 Ships in 12 - 17 working days

Discover the Latest Statistical Approaches for Modeling Exposure-Response Relationships Written by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response modeling, from traditional pharmacokinetic-pharmacodynamic (PKPD) modeling to other areas in drug development and beyond. It incorporates numerous examples and software programs for implementing novel methods. The book describes using measurement error models to treat sequential modeling, fitting models with exposure and response driven by complex dynamics, and survival analysis with dynamic exposure history. It also covers Bayesian analysis and model-based Bayesian decision analysis, causal inference to eliminate confounding biases, and exposure-response modeling with response-dependent dose/treatment adjustments (dynamic treatment regimes) for personalized medicine and treatment adaptation. Many examples illustrate the use of exposure-response modeling in experimental toxicology, clinical pharmacology, epidemiology, and drug safety. Some examples demonstrate how to solve practical problems while others help with understanding concepts and evaluating the performance of new methods. The provided SAS and R codes enable readers to test the approaches in their own scenarios. Although application oriented, this book also gives a systematic treatment of concepts and methodology. Applied statisticians and modelers can find details on how to implement new approaches. 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.

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