Dec 062016
 

Biodemography of Aging: Determinants of Healthy Life Span and Longevity (The Springer Series on Demographic Methods and Population Analysis)


By (author): Anatoliy I. Yashin, Eric Stallard, Kenneth C. Land

This volume is a critical exposition of the data and analyses from a full decade of rigorous research into how age-related changes at the individual level, along with other factors, contribute to morbidity, disability and mortality risks at the broader population level. After summarizing the state of our knowledge in the field, individual chapters offer enlightening discussion on a range of key topics such as age trajectory analysis in select and general populations, incidence/age patterns of major chronic illnesses, and indices of cumulative deficits and their use in characterizing and understanding the detailed properties of individual aging.
The book features comprehensive statistical analyses of unique longitudinal data sets including the unique resource of the Framingham Heart Study, with its more than 60 years of follow-up. Culminating in penetrating conclusions about the insights gained from the work involved, this book adds much to our understanding of the links between aging and human health.
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Nov 282016
 

The Multiple Facets of Partial Least Squares and Related Methods: PLS, Paris, France, 2014 (Springer Proceedings in Mathematics & Statistics)


This volume presents state of the art theories, new developments, and important applications of Partial Least Square (PLS) methods. The text begins with the invited communications of current leaders in the field who cover the history of PLS, an overview of methodological issues, and recent advances in regression and multi-block approaches. The rest of the volume comprises selected, reviewed contributions from the 8th International Conference on Partial Least Squares and Related Methods held in Paris, France, on 26-28 May, 2014. They are organized in four coherent sections: 1) new developments in genomics and brain imaging, 2) new and alternative methods for multi-table and path analysis, 3) advances in partial least square regression (PLSR), and  4) partial least square path modeling (PLS-PM) breakthroughs and applications. PLS methods are very versatile methods that are now used in areas as diverse as engineering, life science, sociology, psychology, brain imaging, genomics, and business among both academics and practitioners. The selected chapters here highlight this diversity with applied examples as well as the most recent advances.
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Nov 282016
 

Excel 2016 for Health Services Management Statistics: A Guide to Solving Problems (Excel for Statistics)


By (author): Thomas J. Quirk, Simone M. Cummings

This book shows the capabilities of Microsoft Excel in teaching health services management statistics effectively. Similar to the previously published Excel 2013 for Health Services Management Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health service management problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.

Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in health service courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Health Services Management Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.

Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand health service management problems. Practice problems are provided at the end of each chapter with their solutions in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.

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Nov 262016
 

Computational Methods for Three-Dimensional Microscopy Reconstruction (Applied and Numerical Harmonic Analysis)


Approaches to the recovery of three-dimensional information on a biological object, which are often formulated or implemented initially in an intuitive way, are concisely described here based on physical models of the object and the image-formation process. Both three-dimensional electron microscopy and X-ray tomography can be captured in the same mathematical framework, leading to closely-related computational approaches, but the methodologies differ in detail and hence pose different challenges. The editors of this volume, Gabor T. Herman and Joachim Frank, are experts in the respective methodologies and present research at the forefront of biological imaging and structural biology.

Computational Methods for Three-Dimensional Microscopy Reconstruction will serve as a useful resource for scholars interested in the development of computational methods for structural biology and cell biology, particularly in the area of 3D imaging and modeling.

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Nov 252016
 

Introduction to Statistics for Forensic Scientists


By (author): David Lucy

Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from the forensic science literature and forensic case-work to illustrate relevant statistical concepts and methods.

Opening with a brief overview of the history and use of statistics within forensic science, the text then goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis on the evaluation of scientific observation as evidence and modern Bayesian approaches to interpreting forensic data for the courts. The analysis of key forms of evidence are discussed throughout with a particular focus on DNA, fibres and glass.

An invaluable introduction to the statistical interpretation of forensic evidence; this book will be invaluable for all undergraduates taking courses in forensic science.

  • Introduction to the key statistical techniques used in the evaluation of forensic evidence
  • Includes end of chapter exercises to enhance student understanding
  • Numerous examples taken from forensic science to put the subject into context
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Nov 232016
 

Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics: Selected Papers from the 2015 ICSA/Graybill … Fort Collins (ICSA Book Series in Statistics)


The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort Collins.  The contributions cover topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis.  Each papers was peer-reviewed by at least two referees and also by an editor.  The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe.
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Nov 122016
 

Tools for Statistical Inference: Observed Data and Data Augmentation Methods (Lecture Notes in Statistics)


By (author): Martin A. Tanner

From the reviews: The purpose of the book under review is to give a survey of methods for the Bayesian or likelihood-based analysis of data. The author distinguishes between two types of methods: the observed data methods and the data augmentation ones. The observed data methods are applied directly to the likelihood or posterior density of the observed data. The data augmentation methods make use of the special “missing” data structure of the problem. They rely on an augmentation of the data which simplifies the likelihood or posterior density. #Zentralblatt für Mathematik#
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Nov 102016
 

Medical Statistics: For Beginners


By (author): Ramakrishna HK

This book deals with statistics in medicine in a simple way. The text is supported by abundant examples from medical data. This book aims to explain and simplify the process of data presentation. Further aspects addressed include how to design and conduct clinical trials, and how to write journal articles. 
 
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Nov 052016
 

Thrombosis and Embolism: from Research to Clinical Practice: Volume 1 (Advances in Experimental Medicine and Biology)


This unique publication explores diverse themes relating to thrombosis and embolism, from basic research at cell and molecular level to the actual care, prevention, and treatment of diverse categories of patients suffering from such diseases. Chapters cover a variety of topics including thrombosis and embolism in surgical patients, cancer patients, pregnant women and children and adolescents, as well as treatment of the conditions by traditional anticoagulants, novel oral anticoagulants, thrombolytic therapy, endovascular treatment and embolectomy. Readers may explore cutting edge research, recommendations from major societies, contemporary guidelines, areas of controversy and directions for ongoing and future research.

The book features comprehensive information ranging from molecular mechanisms of diseases to the clinical features, diagnosis, and therapeutic regimens for treating a variety of clinical conditions. It has a broad appeal to scientists and research students as well as busy clinicians engaged in patient care, who will all find something important and useful amongst these carefully selected chapters. 

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Nov 052016
 

New Developments in Statistical Modeling, Inference and Application: Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR (ICSA Book Series in Statistics)


The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking, and innovative clinical trial design and analysis. Each paper was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe. It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events.
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