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Survival Analysis
by Xian LiuSurvival analysis concerns sequential occurrences of events governed by probabilistic laws. Recent decades have witnessed many applications of survival analysis in various disciplines. This book introduces both classic survival models and theories along with newly developed techniques. Readers will learn how to perform analysis of survival data by following numerous empirical illustrations in SAS.Survival Analysis: Models and Applications: Presents basic techniques before leading onto some of the most advanced topics in survival analysis.Assumes only a minimal knowledge of SAS whilst enabling more experienced users to learn new techniques of data input and manipulation.Provides numerous examples of SAS code to illustrate each of the methods, along with step-by-step instructions to perform each technique.Highlights the strengths and limitations of each technique covered.Covering a wide scope of survival techniques and methods, from the introductory to the advanced, this book can be used as a useful reference book for planners, researchers, and professors who are working in settings involving various lifetime events. Scientists interested in survival analysis should find it a useful guidebook for the incorporation of survival data and methods into their projects.
Survival Analysis Using S: Analysis of Time-to-Event Data (Chapman & Hall/CRC Texts in Statistical Science)
by Mara Tableman Jong Sung KimSurvival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied linear regres
Survival Analysis with Correlated Endpoints: Copula-based Approaches (SpringerBriefs in Statistics)
by Shigeyuki Matsui Takeshi Emura Virginie RondeauThis book introduces readers to advanced statistical methods for analyzing survival data involving correlated endpoints. In particular, it describes statistical methods for applying Cox regression to two correlated endpoints by accounting for dependence between the endpoints with the aid of copulas. The practical advantages of employing copula-based models in medical research are explained on the basis of case studies. <P><P> In addition, the book focuses on clustered survival data, especially data arising from meta-analysis and multicenter analysis. Consequently, the statistical approaches presented here employ a frailty term for heterogeneity modeling. This brings the joint frailty-copula model, which incorporates a frailty term and a copula, into a statistical model. The book also discusses advanced techniques for dealing with high-dimensional gene expressions and developing personalized dynamic prediction tools under the joint frailty-copula model. <P><P> To help readers apply the statistical methods to real-world data, the book provides case studies using the authors’ original R software package (freely available in CRAN). The emphasis is on clinical survival data, involving time-to-tumor progression and overall survival, collected on cancer patients. Hence, the book offers an essential reference guide for medical statisticians and provides researchers with advanced, innovative statistical tools. The book also provides a concise introduction to basic multivariate survival models.
Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS (Chapman & Hall/CRC Interdisciplinary Statistics)
by Emmanuel Lesaffre Kris Bogaerts Arnost KomarekSurvival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical introduction into the analysis of interval-censored survival times. Although many theoretical developments have appeared in the last fifty years, interval censoring is often ignored in practice. Many are unaware of the impact of inappropriately dealing with interval censoring. In addition, the necessary software is at times difficult to trace. This book fills in the gap between theory and practice. Features: -Provides an overview of frequentist as well as Bayesian methods. -Include a focus on practical aspects and applications. -Extensively illustrates the methods with examples using R, SAS, and BUGS. Full programs are available on a supplementary website. The authors: Kris Bogaerts is project manager at I-BioStat, KU Leuven. He received his PhD in science (statistics) at KU Leuven on the analysis of interval-censored data. He has gained expertise in a great variety of statistical topics with a focus on the design and analysis of clinical trials. Arnošt Komárek is associate professor of statistics at Charles University, Prague. His subject area of expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is past chair of the Statistical Modelling Society and editor of Statistical Modelling: An International Journal. Emmanuel Lesaffre is professor of biostatistics at I-BioStat, KU Leuven. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval-censored data, misclassification issues, and clinical trials. He is the founding chair of the Statistical Modelling Society, past-president of the International Society for Clinical Biostatistics, and fellow of ISI and ASA.
Survival Analysis with Python
by Avishek NagSurvival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis. It then delves into Parametric models with coverage of Concept of maximum likelihood estimate (MLE) of a probability distribution parameter MLE of the survival function Common probability distributions and their analysis Analysis of exponential distribution as a survival function Analysis of Weibull distribution as a survival function Derivation of Gumbel distribution as a survival function from Weibull Non-parametric models including Kaplan–Meier (KM) estimator, a derivation of expression using MLE Fitting KM estimator with an example dataset, Python code and plotting curves Greenwood’s formula and its derivation Models with covariates explaining The concept of time shift and the accelerated failure time (AFT) model Weibull-AFT model and derivation of parameters by MLE Proportional Hazard (PH) model Cox-PH model and Breslow’s method Significance of covariates Selection of covariates The Python lifelines library is used for coding examples. By mapping theory to practical examples featuring datasets, this book is a hands-on tutorial as well as a handy reference.
Survival Analysis: Efficient Nonparametric Curve Estimation For Censored Data with R Examples (Synthesis Lectures on Mathematics & Statistics)
by Sam EfromovichThis textbook provides a unified account of estimating the survival function, hazard rate, cumulative hazard, density, regression, conditional distributions, and linear functionals for the current status censored and right-censored data. The book contains the theory and methodology of efficient estimation, adaptation, dimension reduction, and confidence bands as well as the universal E-estimator for small samples. Exercises and a large number of simulated and real-life examples that can be repeated and modified using the complementary R package are also included. This coverage, together with the intuitive style of presentation, is ideal for people entering this field. The context is suitable for self-study or a one-semester course for graduate students with majors ranging from biostatistics and data analytics to econometrics and actuarial science.
Survival Analysis: Proportional and Non-Proportional Hazards Regression
by John O'QuigleyThis book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics. The framework is that of proportional and non-proportional hazards models; a structure that is broad enough to enable the recovery of a large number of established results as well as to open the way to many new developments. The emphasis is on concepts and guiding principles, logical and graphical. Formal proofs of theorems, propositions and lemmas are gathered together at the end of each chapter separate from the main presentation. The intended audience includes academic statisticians, biostatisticians, epidemiologists and also researchers in these fields whose focus may be more on the applications than on the theory. The text could provide the basis for a two semester course on survival analysis and, with this goal in mind, each chapter includes a section with a range of exercises as a teaching aid for instructors.
Survival Models and Data Analysis (Wiley Series in Probability and Statistics #110)
by Norman L. Johnson Regina C. Elandt-JohnsonSurvival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.
Survivorship Analysis for Clinical Studies (Statistics: A Series of Textbooks and Monographs)
by Eugene K. Harris Adelin AlbertThis unique reference/text provides an understanding of nonparametric and quasi parametric (regression) methods to analyze survivorship data in clinical studies emphasizing the interpretation and reasoning behind these methods.Written for clinicians, as well as biostatisticians, Survivorship Analysis for Clinical Studies justifies each new methodology presented and clarifies its relationship to preceding material. It describes and explains established methods for summarizing the results of the majority of single-clinic survivorship studies, comparing two or more survival processes, and examining the effects of covariates on survival.Including a diskette containing programs for computing confidence bands for survival curves, this book serves as a timely reference for biostatisticians, clinicians engaged in clinical trials, pharmacologists involved in new drug testing, epidemiologists, and biomedical engineers, and as a superb text for upper-level undergraduate and graduate students, as well as participants in professional seminars on survivorship data analysis in clinical settings.
Susie's Silly 1, 2, 3s
by Susan Lepore KingDo you like to be silly? Like wearing flowery tops and patterned bottoms together? Do you like to listen to rhymes or better yet, listen to those rhyming words roll off the tip of your tongue? Do you doodle and shade with a pencil? If you answered “yes” to any of these, then I invite you to follow me on a journey from 1 to 10 in a world brimming with silly rhymes and shady pencils.
Sustainability of Economic Growth in East Asia: Toward the Post-COVID-19 Era (New Frontiers in Regional Science: Asian Perspectives #82)
by Hiroyuki TaguchiThis book is a rarity in that it analyzes comprehensive updates of East Asian economies beyond COVID-19 with quantitative and scientific methods. COVID-19 has brought in structural changes such as the facilitation of digitalization and the slowdown of globalization in the region’s economies. Meanwhile, those economies have adjusted their structures to the changes and have enhanced their resilience against the shocks beyond COVID-19 in order to sustain their economic growth. These adjustments have accompanied the transformations of industries (such as servicification), global value chains, and trade and investment patterns. Policy momentums have also been affected by the structural changes caused by COVID-19 in areas such as poverty alleviation, environment, and foreign aid. So far, however, there have been only a very limited number of quantitative studies to describe the economic transformations toward the post-COVID-19 era among the vast literature of East Asian studies. This book applies scientific approaches such as data-oriented and econometric methods. In this manner, the book enriches empirical evidence in academic literature and also contributes to evidence-based policymaking. This study is also based on the research collaboration with Mae Fah Luang University in Thailand, which specializes in border economies in the Greater Mekong Subregion. Thus, the study’s outcomes will especially interest academic researchers and policymakers.
Sustainable Ageing: Reimagining Healthy Ageing Through the Lens of Flagship Campaigns
by Hafiz T. A. Khan Nestor Asiamah Whitney Nesser Frank Frimpong Opuni Alex Siu Wing ChanThis book uniquely operationalizes "sustainable ageing" as a concept for reimagining ways by which: (1) social and health threats (i.e., climate change events, extreme industrialization, infectious disease outbreak, and war) can constrain the implementation of healthy ageing campaigns or limit their outcomes, and (2) potential transdisciplinary strategies can be rolled out to optimize healthy ageing through the campaigns in contexts experiencing the threats. The United Nations Decade of Healthy Ageing 2021-2030 initiative drives major healthy ageing campaigns and encapsulates 10 initiatives for enabling people to maintain health as they age. Worsening social and health threats are, however, hindering the implementation of the campaigns. Consequently, healthy ageing may not be achieved or sustained, even in age-friendly contexts experiencing crises. Scholars agree these threats will adversely impact public health and an inclusive multidisciplinary approach to healthy ageing is necessary amidst the threats. This book provides an understanding of how healthy ageing should be framed and approached through the campaigns in a world experiencing crises. Among the topics covered are: Psychology of “Ageing in Place” Amidst Health and Social Threats: Perspectives on the Decade of Healthy Ageing Climate Change Adaptation for Healthy Ageing Research-Practice Gap: Impact on Campaigns and Mitigation Strategies Human Development Pathways for Empowering Older Adults: A Decade of Healthy Ageing Perspective Initiatives to Fight Ageism, Neglect, and Elderly Abuse During Crises: A Healthy Ageing Perspective Sustainable Ageing: Reimagining Healthy Ageing Through the Lens of Flagship Campaigns is a timely publication with broad appeal. Each chapter provides empirical evidence or models for improving stakeholders’ understanding of campaign-related healthy ageing programmes, how the programmes are affected by the threats, and what can be done to achieve the core goals in contexts experiencing threats. Students, lecturers, and researchers can use the book as a research guide, whereas public health professionals and organizations can use it to develop or alter policies. Researchers in a wide range of disciplines can design studies based on models and insights from the book.
Sustainable Community Health: Systems and Practices in Diverse Settings
by Elias MpofuApplying a trans-disciplinary approach, this book provides a comprehensive, research-based guide to understanding, implementing, and strengthening sustainable community health in diverse international settings. By examining the interdependence of environmental, economic, public health, community wellbeing and development factors, the authors address the systemic factors impacting health disparities, inequality and social justice issues. The book analyzes strategies based on a partnership view of health, in which communities determine their health and wellness working alongside local, state and federal health agencies. Crucially, it demonstrates that communities are themselves health systems and their wellbeing capabilities affect the health of individuals and the collective alike. It identifies health indicators and tools that communities and policy makers can utilize to sustain truly inclusive health systems. This book offers a unique resource for researchers and practitioners working across psychology, mental health, rehabilitation, public health, epidemiology, social policy, healthcare and allied health.
Sustainable Development Through Data Analytics and Innovation: Techniques, Processes, Models, Tools, and Practices (Progress in IS)
by Jorge Marx Gómez Lawal O. YesufuSustainable development is based on the idea that societies should advance without compromising their future development requirements. This book explores how the application of data analytics and digital technologies can ensure that development changes are executed on the basis of factual data and information. It addresses how innovations that rely on digital technologies can support sustainable development across all sectors and all social, economic, and environmental aspects and help us achieve the Sustainable Development Goals (SDGs). The book also highlights techniques, processes, models, tools, and practices used to achieve sustainable development through data analysis. The various topics covered in this book are critically evaluated, not only theoretically, but also from an application perspective. It will be of interest to researchers and students, especially those in the fields of applied data analytics, business intelligence and knowledge management.
Sustainable Development through Machine Learning, AI and IoT: Second International Conference, ICSD 2024, Virtual Event, April 27–28, 2024, Proceedings (Communications in Computer and Information Science #2196)
by Pawan Whig Nuno Silva Nagender Aneja Pavika Sharma Ahmad A. ElngarThis book constitutes the refereed proceedings of the Second International Conference on Sustainable Development through Machine Learning, AI and IoT, ICSD 2024, held in Virtual Event, during April 27–28, 2024. The 38 full papers presented here were carefully reviewed and selected from 167 submissions. These papers have been categorized into the following sections: This volume encompassing a diverse array of topics at the intersection of cutting-edge technologies and practical applications. Each chapter delves into innovative approaches and solutions, providing valuable insights into contemporary challenges and opportunities in various domains. Here, we explore the realms of blockchain, data science, machine learning, artificial intelligence, and more, offering in-depth analyses and practical implementations.
Sustainable Environmental Design in Architecture: Impacts on Health (Springer Optimization and Its Applications #56)
by Panos M. Pardalos Stamatina Th. RassiaOver the last few decades, there have been dramatic improvements in the understanding and research of environmental design. Numerous methods have been developed to enhance architectural design in order for it to be more energy efficient, sustainable and health enhancing. This book presents several theories and techniques that can be used to improve how buildings are engineered and designed in order to utilize more sustainable construction methods while promoting the health of the building's occupants. Contributions to the study of environmental design have come from a diversity of fields including applied mathematics, optimization, computer science, medical research, psychology, management science, architecture, and engineering. The techniques developed in these areas of research can be used to increase building performance, occupant satisfaction, productivity, and well being, and reducing the incidence of health conditions and chronic diseases related to the use of a designed space. This book provides architectural practitioners, civil engineers as well as other interdisciplinary researchers with the techniques needed to design, implement, and test for sustainability and health promotion in new or existing structures.
Sustainable Finance, Digitalization and the Role of Technology: Proceedings of The International Conference on Business and Technology (ICBT 2021) (Lecture Notes in Networks and Systems #487)
by Allam Hamdan Bahaaeddin AlareeniThis book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers were selected for inclusion in the conference proceedings from forty countries. Each of these chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.The book highlights a range of topics in the fields of technology, entrepreneurship, business administration, accounting, and economics that can contribute to business development in countries, such as learning machines, artificial intelligence, big data, deep learning, game-based learning, management information system, accounting information system, knowledge management, entrepreneurship, and social enterprise, corporate social responsibility and sustainability, business policy and strategic management, international management and organizations, organizational behavior and HRM, operations management and logistics research, controversial issues in management and organizations, turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm governance, managerial accounting and firm financial affairs, non-traditional research, and creative methodologies.These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.
Sustainable Hybrid Energy Systems: Carbon Neutral Approaches, Modeling, and Case Studies
by Jiuping Xu Fengjuan WangSustainable Hybrid Energy Systems Discovering comprehensive approaches to build sustainable hybrid energy systems Hybridization is the eternal theme of human energy utilization. However, it has never been more important than it is now because of the urgency of promoting energy transition and achieving carbon neutrality. Therefore, exploring the design, combustion, operation, and policy challenges of sustainable hybrid energy systems becomes increasingly important. Sustainable Hybrid Energy Systems: Carbon Neutral Approaches, Modeling, and Case Studies provides a detailed explanation of these aspects. Dividing hybrid energy systems into three categories—co-located, co-combusted, and co-operated, this book emphasizes the deployment optimization, emission quota allocation, scheduling coordination, and renewable portfolio standards implementation of these systems. The results are essential tools for understanding the current and future of multi-input single-output hybrid energy systems. Sustainable Hybrid Energy Systems readers will also find: Clear logical framework that reveals the constitutes of hybrid energy systems.Systematic technical scheme for building an economic, environmental, flexible, and resilient future energy system.Extensive case studies from single power plant level, multiple power plant level, and grid level.Effective guidelines for wider application of the proposed carbon neutral approaches. Sustainable Hybrid Energy Systems is ideal for power engineers, electrical engineers, scientists in industry, and environmental researchers looking to understand these energy solutions. It will also provide collectible value for libraries.
Sustainable IoT and Data Analytics Enabled Machine Learning Techniques and Applications (Contributions to Environmental Sciences & Innovative Business Technology)
by V. Ajantha DeviThis book provides a structured presentation of machine learning related to vision, speech, and natural language processing. It addresses the tools, techniques, and challenges of machine learning algorithm implementation, computation time, and the complexity of reasoning and modeling of different types of data. The book covers diverse topics such as semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, natural language processing, traffic and signaling, driverless driving, and radiology. The majority of smart applications have a need for a sustainable Internet of things (IoT) and artificial intelligence. Active research trends and future directions of machine learning under big data analytics are also discussed. Machine learning is a class of artificial neural networks that have become dominant in various computer vision tasks, attracting interest across a variety of domains as they are a type of deep neural networks efficient in extracting meaningful information from visual imagery.
Sustainable Life Insurance: Managing Risk Appetite for Insurance Savings and Retirement Products (Chapman and Hall/CRC Financial Mathematics Series)
by Aymeric Kalife Ludovic Goudenège Tan Xiaolu Mouti Saad Mounir BellmaneSustainable Life Insurance: Managing Risk Appetite for Insurance Savings and Retirement Products gives an overview of all relevant aspects of traditional and non-traditional savings and retirement products from both insurers’ and policyholders’ respective risk appetites. Examples of such products include general accounts, whole life, annuities (variable, fixed and fixed indexed, structured), index-linked products, CPPI-based products, etc. The book contains technical details associated with both practice and theory, specifically related to modelling, product design, investments and risk management challenges and solutions, tailored to both insurers’ and policyholders’ perspectives. Features The book offers not only theoretical background but also concrete, cutting-edge "quick wins" across strategic and operational business axes. It will be an asset for professionals in the insurance industry, and a great teaching/learning resource for courses in risk management, insurance modelling, and more. The book highlights the operational challenges encountered across modelling, product designs and hedging.
Sustainable Management Through Knowledge and Innovation: How to Develop a Strong Strategy in the Wine Industry (SpringerBriefs in Applied Sciences and Technology)
by Javier Martínez-Falcó Bartolomé Marco-Lajara Eduardo Sánchez-García Luis A. Millán-TudelaThis book explores multiple types of innovation within the modern wine industry and how it has developed historically. The book provides and extensive examination of the existing knowledge in this subject. This highlights the evolution of historical and contemporary trends and signposts the authoritative literature published and most important researchers active in the field. With this comprehensive approach, the book is a versatile resource for both scholars and industry professionals, akin to a "Swiss Army Knife" for all aspects of green innovation in the wine sector.
Sustainable Neighbourhoods for Ageing in Place: An Interdisciplinary Voice Against Global Crises
by Emmanuel Mogaji Hafiz T. A. Khan Ruth Lowry Nestor Asiamah Pablo Villalobos Dintrans Mohammad Javad Koohsari Edgar Ramos Vieira Henry Kofi MensahThis timely book provides an understanding of how an ageing population can maintain health in the ageing process in their preferred homes and neighbourhoods while coping with global crises of climate change events, infectious diseases, systemic violence, and radical or extreme industrialisation. It is the first-known volume to consider the four crises as health and social threats to healthy longevity from a sustainability perspective. The book is a collection of commentaries, theoretical frameworks, case studies, and empirical evidence that: (1) provides an analysis of how the crises affect neighbourhood attributes and the ability of residents to use them to maintain health while living in their preferred neighbourhoods, and (2) suggests potential interventions for enabling residents to utilise these attributes for health while living at home in contexts experiencing the crises. Contributions are authored by scholars and practitioners from various disciplines including public health, health care, architecture, engineering, human resources development, information technology, and finance. Among the topics covered:The Impact of Crises on Older Adults’ Health and Function: An Intergenerational Perspective A Behavioural Approach to Sustainable Neighbourhoods: A Philosophical Construction of a Friendly NeighbourhoodAssistive Technologies for Ageing in Place: A Theoretical Proposition of Human Development Postulates “Sustainable Ageing” in a World of CrisesSustainable Neighbourhoods for Ageing in Place: An Interdisciplinary Voice Against Global Crises serves as both a primary and secondary text particularly suited for post-graduate level study (e.g., MSc, PhD). Each chapter richly describes events, phenomena and models in a way that fits contemporary curricula for students and instructors in sociology, gerontology, architecture, environmental science studies, sustainability, ageing studies, and public health. Researchers in a broad range of disciplines can use the book as a research guide to design their studies based on models and insights described in its contents. With theoretical frameworks and recommendations from this book, stakeholders can understand what a sustainable neighbourhood is in the context of crises by presenting problems and solutions from different countries and disciplines.
Sustainable Practices in Italian Businesses: Environmental, Social and Economic Aspects (SpringerBriefs in Environmental Science)
by Silvia Biffignandi Fabiola Riccardini Samuel AshongThis SpringerBrief describes the development and use of a synthetic indicator to assess different degrees of sustainability adoption by economic sector and businesses size. To make this analysis a theoretical framework which involves variables common to alternative frameworks (specifically ESG, GRI and Istat) is proposed. The empirical analysis focuses on the environmental, social and economic variables of the Italian businesses. In this analysis, all three pillars of sustainability – economic, environmental, and social – are considered. The work begins with a review of business sustainability literature and a look into institutional frameworks for the development and measurement of the phenomena. Connections between businesses and the SDGs are examined and comparison of the classifications of sustainable activities defined by GRI and ESG international standards is used to define a framework to be adopted to analyse ISTAT Business Census. Selected indicator variables are aggregated with a synthetic indicator and the results are presented (this is a new proposal of a synthetic indicator useful for the type of data used and published by ISTAT – Italian National Statistical Institute), discussing pros and cons of using it. This study provides two important innovative contributions. The first one is about how to approach the theoretical framework of businesses sustainability at firms aggregated level. The basic idea to work on a set of variables common to different approaches is interesting from the interpretative point of view. The second one, is about the specific empirical analysis, i.e. the Italian businesses sustainability situation. The investigation based on this new theoretical classification/framework and the new proposed indicator provides some interesting substantive results.
Sustainable Statistical and Data Science Methods and Practices: Reports from LISA 2020 Global Network, Ghana, 2022 (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health)
by O. Olawale Awe Eric A. VanceThis volume gathers papers presented at the LISA 2020 Sustainability Symposium in Kumasi, Ghana, May 2–6, 2022. They focus on sustainable methods and practices of using statistics and data science to address real-world problems. From utilizing social media for statistical collaboration to predicting obesity among rural women, and from analyzing inflation in Nigeria using machine learning to teaching data science in Africa, this book explores the intersection of data, statistics, and sustainability. With practical applications, code snippets, and case studies, this book offers valuable insights for researchers, policymakers, and data enthusiasts alike.The LISA 2020 Global Network aims to enhance statistical and data science capability in developing countries through the creation of a network of collaboration laboratories (also known as “stat labs”). These stat labs are intended to serve as engines for development by training the next generation of collaborative statisticians and data scientists, providing research infrastructure for researchers, data producers, and decision-makers, and enabling evidence-based decision-making that has a positive impact on society. The research conducted at LISA 2020 focuses on practical methods and applications for sustainable growth of statistical capacity in developing nations.
Sustained Simulation Performance 2012
by Xin Wang Michael M. Resch Wolfgang Bez Erich Focht Hiroaki KobayashiThe book presents the state of the art in high performance computing and simulation on modern supercomputer architectures. It covers trends in hardware and software development in general and specifically the future of high performance systems and heterogeneous architectures. The application contributions cover computational fluid dynamics, material science, medical applications and climate research. Innovative fields like coupled multi-physics or multi-scale simulations are presented. All papers were chosen from presentations given at the 14th Teraflop Workshop held in December 2011 at HLRS, University of Stuttgart, Germany and the Workshop on Sustained Simulation Performance at Tohoku University in March 2012.