Do miracles happen? Is the Bible true? What about the paranormal? Does God exist? People ask these questions but there are no agreed answers. At the rational level, uncertainty is inevitable. But is there enough evidence for a rational person to commit themselves to Christianity? This book provides an answer.
This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence. Key topics include: Variability Standard Distributions Correlation Relationship Sampling Inference An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.
Scientific accounts of existence give chance a central role. At the smallest level, quantum theory involves uncertainty and evolution is driven by chance and necessity. These ideas do not fit easily with theology in which chance has been seen as the enemy of purpose. One option is to argue, as proponents of Intelligent Design do, that chance is not real and can be replaced by the work of a Designer. Others adhere to a deterministic theology in which God is in total control. Neither of these views, it is argued, does justice to the complexity of nature or the greatness of God. The thesis of this book is that chance is neither unreal nor non-existent but an integral part of God's creation. This view is expounded, illustrated and defended by drawing on the resources of probability theory and numerous examples from the natural and social worlds.
Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable is also introduced along with related techniques for investigating dependency. This book: Provides a unified approach showing how such apparently diverse methods as Latent Class Analysis and Factor Analysis are actually members of the same family. Presents new material on ordered manifest variables, MCMC methods, non-linear models as well as a new chapter on related techniques for investigating dependency. Includes new sections on structural equation models (SEM) and Markov Chain Monte Carlo methods for parameter estimation, along with new illustrative examples. Looks at recent developments on goodness-of-fit test statistics and on non-linear models and models with mixed latent variables, both categorical and continuous. No prior acquaintance with latent variable modelling is pre-supposed but a broad understanding of statistical theory will make it easier to see the approach in its proper perspective. Applied statisticians, psychometricians, medical statisticians, biostatisticians, economists and social science researchers will benefit from this book.
Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>
Cancer Therapy with Radiolabeled Antibodies explores the most current experimental and clinical advances in the newly emerging field of cancer radioimmunotherapy (RAIT). Providing a multidisciplinary and international context, some of the world's leading experts examine the problems and prospects of RAIT from radiation, immunological, chemical, physical, physiological, and clinical perspectives with both overviews and original research. Discussions cover the up-to-date clinical results in the RAIT of ovarian, breast, colorectal, and brain cancers, as well as the current status of RAIT in the management of B cell lymphomas. Radiobiology, dosimetry, radiochemistry, targeting biology in experimental models, clinical experiences in hematopoietic and solid tumors, and new approaches to improve cancer radioimmunotherapy are also discussed. In addition, new dosimetry concepts, new labeling methods, new concepts of antibody pharmacokinetics, and new methods to enhance selective cancer radioimmunotherapy are included.
Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, con
The certainties which once underpinned Christian belief have crumbled in a world where science sets the standard for what is true. A rational case for belief must therefore be constructed out of uncertainties. Probability theory provides the tools for measuring and combining uncertainties and is thus the key to progress. This book examines four much debated topics where the logic of uncertain inference can be brought to bear. These are: miracles, the paranormal, God's existence, and the Bible. Given the great diversity of evidence, it is not surprising that opposite conclusions have been drawn by supposedly rational people. An assessment of the state of argument from a probabilistic perspective is overdue. In this book Professor Bartholomew examines and refutes some of the more extravagent claims, evaluates the weight of some of the quantitive evidence, and provides an answer to the fundamental question: is it rational to be a Christian?
The classical statistical problem typically involves a probability distribution which depends on a number of unknown parameters. The form of the distribution may be known, partially or completely, and inferences have to be made on the basis of a sample of observations drawn from the distribution; often, but not necessarily, a random sample. This brief deals with problems where some of the sample members are either unobserved or hypothetical, the latter category being introduced as a means of better explaining the data. Sometimes we are interested in these kinds of variable themselves and sometimes in the parameters of the distribution. Many problems that can be cast into this form are treated. These include: missing data, mixtures, latent variables, time series and social measurement problems. Although all can be accommodated within a Bayesian framework, most are best treated from first principles.
This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence. Key topics include: Variability Standard Distributions Correlation Relationship Sampling Inference An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.
The experiences of the families rang true throughout. I have experienced many of these personally. ...It made me think differently about my personal experience as a parent of a child with cancer and my son's current social experiences." Macmillan Cancer Support This book offers a radical critique of existing psychosocial research on children’s experiences of cancer and proposes an alternative view informed by recent interpretive perspectives. Exploring topics from obtaining a diagnosis of childhood cancer through to sharing decision-making and communication, it reviews a wide-ranging body of research and theory on childhood, chronic illness, and cancer. The book also examines research that has focused on how parents and other family members experience childhood illness. Written by a sociologist, a psychologist and a practising paediatric oncologist, this book is unique in its approach and provides key reading across traditional disciplinary boundaries. In particular, the book highlights the emerging contribution of interpretive work to understanding chronic childhood illness and further develops the dialogue that has only recently emerged between the sociology of illness and the sociology of childhood. Rethinking Experiences of Childhood Cancer is aimed at researchers, students and practitioners in the fields of social science, childhood studies, nursing, medicine, mental health care, social work, clinical psychology and other professions allied to medicine, and will also be of interest to families who have been affected by childhood cancer.
This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.
Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of logistic regression form valuable additions to the statistician's toolbox, and author Dave Collett has fully updated his popular treatise to incorporate these important advances. Modelling Binary Data, Second Edition now provides an even more comprehensive and practical guide to statistical methods for analyzing binary data. Along with thorough revisions to the original material-now independent of any particular software package- it includes a new chapter introducing mixed models for binary data analysis and another on exact methods for modelling binary data. The author has also added material on modelling ordered categorical data and provides a summary of the leading software packages. All of the data sets used in the book are available for download from the Internet, and the appendices include additional data sets useful as exercises.
Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational developments have emerged, accompanied by the steady growth of statistical computing. Mixed models for binary data analysis and procedures that lead to an exact version of logistic regression form valuable additions to the
With increasing prevalence, paramedics are commonly dispatched to pre-hospital settings where mental health and mental illness are essential considerations in paramedic practice and approaches to treatment. Mental Health and Mental Illness in Paramedic Practice is the first text of its kind – a resource specifically written by expert clinicians and academics solely for the Australian and New Zealand paramedic context. The text introduces fundamental concepts and theories in mental health and mental illness in the context of paramedic principles of care. It delves into topics such as person-centred mental healthcare; communication and the therapeutic relationship; and legal and ethical issues – all within the realm of paramedic practice. The textbook steps students through common patient presentations in the pre-hospital setting and offers practical guidance in applying appropriate approaches to treatment. Case studies accompanied by critical thinking questions are incorporated throughout to assist with application to practice Demonstrates relevance to real-life scenarios through consumer vignettes and paramedic stories Special considerations embedded in each chapter, including: cultural considerations; ethics and ethical dilemmas; inter-professional practice, application and considerations; and ongoing care / other modes of care Review questions included at the end of each chapter to ensure reflection on key topics and concepts Strong focus on evidence-based research and practice Core components of undergraduate paramedicine addressed An eBook included in all print purchases
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