Song Yang – författare

Survival analysis is crucial in many fields, including biomedical research, actuarial science, reliability analysis, business and customer analytics, econometrics, and social science. It has witnessed significant advancements in recent decades. However, most of this progress remains in scattered theoretical and applied publications, often focusing on exploratory analysis rather than the design and analysis of clinical trials. Non-proportional hazards are less well addressed. Competing risks are frequently overlooked, and the counting process approach often remains a mystery to many practitioners. Consequently, these critical topics are often not well understood or thoroughly analyzed.Survival Analysis: Principles and Applications in Clinical Trials and Beyond aims to address these gaps. It provides an up-to-date and reader-friendly account of topics, progressing from the log-rank test, stratified analysis, and Cox regression to more advanced analyses. Heuristic arguments are used, leaving rigorous results to the appendices. The book dedicates separate chapters to topics such as clinical trials basics, modeling and analysis for non-proportional hazards, testing and summarizing treatment effects, trial design and interim monitoring, and the analysis of terminal and non-terminal events. A separate chapter is also devoted to detailed martingale heuristics beyond what is typically offered in other texts. Furthermore, a new contribution to recurrent event analysis is the rigorous formulations of marginal models and an exploration of related properties for statistical applications. The often overlooked one- and two-sample cases are also discussed.This book provides an exposition of both the theory and practical applications of survival analysis, covering traditional topics and more recent advancements. It illustrates the methods with real world data, discussing the strengths and limitations of various approaches, and emphasizing modeling assumptions and interpretations. The three appendices offer overviews of modern analytic frameworks pivotal for understanding and developing challenging yet vital statistical solutions. R packages are also available for newer methods. It is an up-to-date, critical and accessible textbook for graduate students and researchers across industry, government, or academia that will enhance their understanding of complex topics, boosting their confidence in exploring different methods and interpreting the findings. It also encourages a critical evaluation of current literature and motivates the readers to develop new research ideas.Key Features:Emphasis on model interpretations and comparison of different methodsIntuitive explanations and heuristic derivation of the methodsReal large trial data applications and R packages for newer methodologiesInclusion of more recently researched topicsModern analytical methods applied to rigorous asymptotics for key problems (in appendices)

Social Network Analysis: Methods and Examples prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.

This book offers a balanced view between a basic introduction of Social Network Analysis (SNA) in its methods and application, and advanced topics of data mining techniques and the subsequent SNA analyses.

This book offers a balanced view between a basic introduction of Social Network Analysis (SNA) in its methods and application, and advanced topics of data mining techniques and the subsequent SNA analyses.  The book stands out as uniquely important contribution to the SNA field because it moves beyond the stage of basic SNA methods. It describes data mining techniques, introducing an online discourse collection platform, ICAS, which is developed by an interdisciplinary team involving Sociologists and Computer Engineer teams with supports of NSF funds.Targeted audiences of this book are students and scholars interested in using SNA techniques to advance their analytics of their respective research areas. This book provides particular utilities to students at the beginner stage of learning SNA basics, and those in their intermediary careers looking to advance their knowledges of what SNA has to offer. The unique features of this book lie in its descriptions of data mining techniques, data processing, and data analytics. The discussions of an online discourse network platform and data processing capabilities present tremendous benefits to those who aspire to mine the massive data of online social networking.

This book is the perfect reference guide to produce hydrocarbons from biomass. Both conventional and emerging chemo-catalytic processes for direct valorization of biomass to biofuels are presented. A must-have for scientific and also industrial researchers working in this field.

This book is mainly focused on the climate change in Southeast Asia and its adjacent regions. It summarizes results from recent scientific research based on observational analysis, data diagnosis, theoretical analysis, and model simulations. The book covers the following research areas: (1) characteristics and mechanisms of spring–summer atmospheric circulation systems, (2) ocean-atmosphere-land interaction and climate variability, (3) climate effect of the Tibetan Plateau, (4) attribution of regional climate change and feedback/impact of regional climate on the global climate, and (5) seasonal-to-subseasonal climate prediction. It is anticipated that the book provides useful information for enhancing our understanding of the change in climate over Southeast Asia and the adjacent regions.

This book is mainly focused on the climate change in Southeast Asia and its adjacent regions. It summarizes results from recent scientific research based on observational analysis, data diagnosis, theoretical analysis, and model simulations. The book covers the following research areas: (1) characteristics and mechanisms of spring–summer atmospheric circulation systems, (2) ocean-atmosphere-land interaction and climate variability, (3) climate effect of the Tibetan Plateau, (4) attribution of regional climate change and feedback/impact of regional climate on the global climate, and (5) seasonal-to-subseasonal climate prediction. It is anticipated that the book provides useful information for enhancing our understanding of the change in climate over Southeast Asia and the adjacent regions.

Network Function Virtualization (NFV) has recently attracted considerable attention from both research and industrial communities. Numerous papers have been published regarding solving the resource- allocation problems in NFV, from various perspectives, considering different constraints, and adopting a range of techniques. However, it is difficult to get a clear impression of how to understand and classify different kinds of resource allocation problems in NFV and how to design solutions to solve these problems efficiently.This book addresses these concerns by offering a comprehensive overview and explanation of different resource allocation problems in NFV and presenting efficient solutions to solve them. It covers resource allocation problems in NFV, including an introduction to NFV and QoS parameters modelling as well as related problem definition, formulation and the respective state-of-the-art algorithms.This book allows readers to gain a comprehensive understanding of and deep insights into the resource allocation problems in NFV. It does so by exploring (1) the working principle and architecture of NFV, (2) how to model the Quality of Service (QoS) parameters in NFV services, (3) definition, formulation and analysis of different kinds of resource allocation problems in various NFV scenarios, (4) solutions for solving the resource allocation problem in NFV, and (5) possible future work in the respective area.

Network Function Virtualization (NFV) has recently attracted considerable attention from both research and industrial communities. Numerous papers have been published regarding solving the resource- allocation problems in NFV, from various perspectives, considering different constraints, and adopting a range of techniques. However, it is difficult to get a clear impression of how to understand and classify different kinds of resource allocation problems in NFV and how to design solutions to solve these problems efficiently.This book addresses these concerns by offering a comprehensive overview and explanation of different resource allocation problems in NFV and presenting efficient solutions to solve them. It covers resource allocation problems in NFV, including an introduction to NFV and QoS parameters modelling as well as related problem definition, formulation and the respective state-of-the-art algorithms.This book allows readers to gain a comprehensive understanding of and deep insights into the resource allocation problems in NFV. It does so by exploring (1) the working principle and architecture of NFV, (2) how to model the Quality of Service (QoS) parameters in NFV services, (3) definition, formulation and analysis of different kinds of resource allocation problems in various NFV scenarios, (4) solutions for solving the resource allocation problem in NFV, and (5) possible future work in the respective area.

Mobile crowdsensing (MCS) is emerging as a novel sensing paradigm in the Internet of Things (IoTs) due to the proliferation of smart devices (e.g., smartphones, wearable devices) in people’s daily lives. These ubiquitous devices provide an opportunity to harness the wisdom of crowds by recruiting mobile users to collectively perform sensing tasks, which largely collect data about a wide range of human activities and the surrounding environment. However, users suffer from resource consumption such as battery, processing power, and storage, which discourages users’ participation. To ensure the participation rate, it is necessary to employ an incentive mechanism to compensate users’ costs such that users are willing to take part in crowdsensing.This book sheds light on the design of incentive mechanisms for MCS in the context of game theory. Particularly, this book presents several game-theoretic models for MCS in different scenarios. In Chapter 1, the authors present an overview of MCS and state the significance of incentive mechanism for MCS. Then, in Chapter 2, 3, 4, and 5, the authors propose a long-term incentive mechanism, a fair incentive mechanism, a collaborative incentive mechanism, and a coopetition-aware incentive mechanism for MCS, respectively. Finally, Chapter 6 summarizes this book and point out the future directions.This book is of particular interest to the readers and researchers in the field of IoT research, especially in the interdisciplinary field of network economics and IoT.

This book explains China's new common prosperity policies—their significance, connotations, and goals—and explains the economic logic behind these often misunderstood policies.