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Survey Research and Sampling (The SAGE Quantitative Research Kit)
by Jan EichhornThis book is an ideal companion for students looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on: Selecting the best sampling method for your research Designing questionnaires to ensure you gather valuable data Collecting your data to represent populations well Piloting questionnaires to ensure quality research Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey
Survey Sampling: Theory And Methods, Second Edition (Statistics: A Series Of Textbooks And Monographs #Vol. 171)
by Arijit ChaudhuriThis venture aspires to be a mix of a textbook at the undergraduate and postgraduate levels and a monograph to catch the attention of researchers in theoretical and practical aspects of survey sampling at diverse levels demanding a comprehensive review of what useful materials have preceded, with an eye to what beacons to the depth of the imminent future.
Survey Sampling: Theory and Methods, Second Edition (Statistics: A Series of Textbooks and Monographs)
by Arijit Chaudhuri Horst StengerSince publication of the first edition in 1992, the field of survey sampling has grown considerably. This new edition of Survey Sampling: Theory and Methods has been updated to include the latest research and the newest methods. The authors have undertaken the daunting task of surveying the sampling literature of the past decade to provide an outst
Surveys in Combinatorics 2013
by Simon R. Blackburn Stefanie Gerke Mark WildonThis volume contains nine survey articles based on the invited lectures given at the 24th British Combinatorial Conference, held at Royal Holloway, University of London in July 2013. This biennial conference is a well-established international event, with speakers from around the world. The volume provides an up-to-date overview of current research in several areas of combinatorics, including graph theory, matroid theory and automatic counting, as well as connections to coding theory and Bent functions. Each article is clearly written and assumes little prior knowledge on the part of the reader. The authors are some of the world's foremost researchers in their fields, and here they summarise existing results and give a unique preview of cutting-edge developments. The book provides a valuable survey of the present state of knowledge in combinatorics, and will be useful to researchers and advanced graduate students, primarily in mathematics but also in computer science and statistics.
Surveys in Combinatorics 2015
by Artur Czumaj Agelos Georgakopoulos Daniel Král' Vadim Lozin Oleg PikhurkoThis volume contains nine survey articles based on the invited lectures given at the 25th British Combinatorial Conference, held at the University of Warwick in July 2015. This biennial conference is a well-established international event, with speakers from around the world. The volume provides an up-to-date overview of current research in several areas of combinatorics, including graph theory, Ramsey theory, combinatorial geometry and curves over finite fields. Each article is clearly written and assumes little prior knowledge on the part of the reader. The authors are some of the world's foremost researchers in their fields, and here they summarise existing results and give a unique preview of cutting-edge developments. The book provides a valuable survey of the present state of knowledge in combinatorics, and will be useful to researchers and advanced graduate students, primarily in mathematics but also in computer science and statistics.
Surveys in Combinatorics 2017 (London Mathematical Society Lecture Note Series #440)
by Anders Claesson Mark Dukes Sergey Kitaev David Manlove Kitty MeeksThis volume contains nine survey articles which provide expanded accounts of plenary seminars given at the British Combinatorial Conference at the University of Strathclyde in July 2017. This biennial conference is a well-established international event attracting speakers from around the world. Written by internationally recognised experts in the field, these articles represent a timely snapshot of the state of the art in the different areas of combinatorics. Topics covered include the robustness of graph properties, the spt-function of Andrews, switching techniques for edge decompositions of graphs, monotone cellular automata, and applications of relative entropy in additive combinatorics. The book will be useful to researchers and advanced graduate students, primarily in mathematics but also in computer science and statistics.
Surveys in Differential-Algebraic Equations I
by Achim Ilchmann Timo ReisThe need for a rigorous mathematical theory for Differential-Algebraic Equations (DAEs) has its roots in the widespread applications of controlled dynamical systems, especially in mechanical and electrical engineering. Due to the strong relation to (ordinary) differential equations, the literature for DAEs mainly started out from introductory textbooks. As such, the present monograph is new in the sense that it comprises survey articles on various fields of DAEs, providing reviews, presentations of the current state of research and new concepts in - Controllability for linear DAEs - Port-Hamiltonian differential-algebraic systems - Robustness of DAEs - Solution concepts for DAEs - DAEs in circuit modeling. The results in the individual chapters are presented in an accessible style, making this book suitable not only for active researchers but also for graduate students (with a good knowledge of the basic principles of DAEs) for self-study.
Surveys in Differential-Algebraic Equations IV
by Achim Ilchmann Timo ReisThe present volume comprises survey articles on various fields of Differential-Algebraic Equations (DAEs) which have widespread applications in controlled dynamical systems, especially in mechanical and electrical engineering and a strong relation to (ordinary) differential equations. The individual chapters provide reviews, presentations of the current state of research and new concepts in - History of DAEs - DAE modelling of mechanical multibody systems - Model reduction of DAEs - Observability for DAEs - Numerical Analysis for DAEs The results are presented in an accessible style, making this book suitable not only for active researchers but also for graduate students (with a good knowledge of the basic principles of DAEs) for self-study.
Surveys in Geometry I
by Athanase PapadopoulosThe volume consists of a set of surveys on geometry in the broad sense. The goal is to present a certain number of research topics in a non-technical and appealing manner.The topics surveyed include spherical geometry, the geometry of finite-dimensional normed spaces, metric geometry (Bishop—Gromov type inequalities in Gromov-hyperbolic spaces), convexity theory and inequalities involving volumes and mixed volumes of convex bodies, 4-dimensional topology, Teichmüller spaces and mapping class groups actions, translation surfaces and their dynamics, and complex higher-dimensional geometry.Several chapters are based on lectures given by their authors to middle-advanced level students and young researchers. The whole book is intended to be an introduction to current research trends in geometry.
Surveys in Geometry II
by Athanase PapadopoulosThe book is the second volume of a collection which consists of surveys that focus on important topics in geometry which are at the heart of current research. The topics in the present volume include the conformal and the metric geometry of surfaces, Teichmüller spaces, immersed surfaces of prescribed extrinsic curvature in 3-dimensional manifolds, symplectic geometry, the metric theory of Grassmann spaces, homogeneous metric spaces, polytopes, the higher-dimensional Gauss–Bonnet formula, isoperimetry in finitely generated groups and Coxeter groups.Each chapter is intended for graduate students and researchers. Several chapters are based on lectures given by their authors to middle-advanced level students and young researchers. The whole book is intended to be an introduction to important topics in geometry.
Surveys in Number Theory: Papers from the Millennial Conference on Number Theory
by M. A. Bennett N. Boston H. G. Diamond A. J. Hildebrand B. C. Berndt W PhilippThis volume, based on fourteen papers from the Millennial Conference on Number Theory, represents surveys of topics in number theory and provides an outlook into the future of number theory research. It serves as an inspiration to graduate students and as a reference for research mathematicians.
Survival Analysis
by Prabhanjan Tattar H J VamanSurvival analysis generally deals with analysis of data arising from clinical trials. Censoring, truncation, and missing data create analytical challenges and the statistical methods and inference require novel and different approaches for analysis. Statistical properties, essentially asymptotic ones, of the estimators and tests are aptly handled in the counting process framework which is drawn from the larger arm of stochastic calculus. With explosion of data generation during the past two decades, survival data has also enlarged assuming a gigantic size. Most statistical methods developed before the millennium were based on a linear approach even in the face of complex nature of survival data. Nonparametric nonlinear methods are best envisaged in the Machine Learning school. This book attempts to cover all these aspects in a concise way. Survival Analysis offers an integrated blend of statistical methods and machine learning useful in analysis of survival data. The purpose of the offering is to give an exposure to the machine learning trends for lifetime data analysis. Features: Classical survival analysis techniques for estimating statistical functional and hypotheses testing Regression methods covering the popular Cox relative risk regression model, Aalen’s additive hazards model, etc. Information criteria to facilitate model selection including Akaike, Bayes, and Focused Penalized methods Survival trees and ensemble techniques of bagging, boosting, and random survival forests A brief exposure of neural networks for survival data R program illustration throughout the book
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.