Search Results: statistical-methodological-aspects-statistics-in-practice

Statistical and Methodological Aspects of Oral Health Research

Author: Emmanuel Lesaffre

Publisher: John Wiley & Sons

ISBN: 9780470744123

Category: Mathematics

Page: 408

View: 4410

Statistical and Methodological Aspects of Oral Health Research provides oral health researchers with an overview of the methodological aspects that are important in planning, conducting and analyzing their research projects whilst also providing biostatisticians with an idea of the statistical problems that arise when tackling oral health research questions. This collection presents critical reflections on oral health research and offers advice on practical aspects of setting up research whilst introducing the reader to basic as well as advanced statistical methodology. Features: An introduction to research methodology and an exposition of the state of the art. A variety of examples from oral health research. Contributions from well-known oral health researchers, epidemiologists and biostatisticians, all of whom have rich experience in this area. Recent developments in statistical methodology prompted by a variety of dental applications. Presenting both an introduction to research methodology and an exposition of the latest advances in oral health research, this book will appeal both beginning and experienced oral health researchers as well as biostatisticians and epidemiologists.

Applied Mixed Models in Medicine

Author: Helen Brown,Robin Prescott

Publisher: John Wiley & Sons

ISBN: 1118778243

Category: Medical

Page: 536

View: 8723

A fully updated edition of this key text on mixed models,focusing on applications in medical research The application of mixed models is an increasingly popular wayof analysing medical data, particularly in the pharmaceuticalindustry. A mixed model allows the incorporation of both fixed andrandom variables within a statistical analysis, enabling efficientinferences and more information to be gained from the data. Therehave been many recent advances in mixed modelling, particularlyregarding the software and applications. This third edition ofBrown and Prescott’s groundbreaking text provides an updateon the latest developments, and includes guidance on the use ofcurrent SAS techniques across a wide range of applications. Presents an overview of the theory and applications of mixedmodels in medical research, including the latest developments andnew sections on incomplete block designs and the analysis ofbilateral data. Easily accessible to practitioners in any area where mixedmodels are used, including medical statisticians andeconomists. Includes numerous examples using real data from medical andhealth research, and epidemiology, illustrated with SAS code andoutput. Features the new version of SAS, including new graphics formodel diagnostics and the procedure PROC MCMC. Supported by a website featuring computer code, data sets, andfurther material. This third edition will appeal to applied statisticians workingin medical research and the pharmaceutical industry, as well asteachers and students of statistics courses in mixed models. Thebook will also be of great value to a broad range of scientists,particularly those working in the medical and pharmaceuticalareas.

Main Economic Indicators Comparative Methodological Analysis: Wage related statistics Volume 2002 Supplement 3

Comparative Methodological Analysis: Wage related statistics Volume 2002 Supplement 3

Author: OECD

Publisher: OECD Publishing

ISBN: 9264175784


Page: 152

View: 2215

This publication compares key aspects of statistical methodologies used by OECD member countries in the compilation of wage related statistics. Such statistics comprise wages and earnings, minimum wages, labour costs and prices, unit labour costs and household income.

Data Analysis in Community and Landscape Ecology

Author: C. J. F. Ter Braak,O. F. R. van Tongeren

Publisher: Cambridge University Press

ISBN: 9780521475747

Category: Mathematics

Page: 299

View: 6490

Ecological data has several special properties: the presence or absence of species on a semi-quantitative abundance scale; non-linear relationships between species and environmental factors; and high inter-correlations among species and among environmental variables. The analysis of such data is important to the interpretation of relationships within plant and animal communities and with their environments. In this corrected version of Data Analysis in Community and Landscape Ecology, without using complex mathematics, the contributors demonstrate the methods that have proven most useful, with examples, exercises and case-studies. Chapters explain in an elementary way powerful data analysis techniques such as logic regression, canonical correspondence analysis, and kriging.

Advances on Theoretical and Methodological Aspects of Probability and Statistics

Author: N. Balakrishnan

Publisher: CRC Press

ISBN: 9780203493205

Category: Mathematics

Page: 560

View: 2318

At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field.

Main Economic Indicators Comparative Methodological Analysis: Consumer and Producer Price Indices Volume 2002 Supplement 2

Comparative Methodological Analysis: Consumer and Producer Price Indices Volume 2002 Supplement 2

Author: OECD

Publisher: OECD Publishing

ISBN: 9264175776


Page: 88

View: 2429

This publication compares key aspects of statistical methodologies used by OECD member countries in the compilation of price indicators.

Methodology in Robust and Nonparametric Statistics

Author: Jana Jurečková,Pranab Kumar Sen,Jan Picek

Publisher: CRC Press

ISBN: 1439840695

Category: Mathematics

Page: 410

View: 4065

Robust and nonparametric statistical methods have their foundation in fields ranging from agricultural science to astronomy, from biomedical sciences to the public health disciplines, and, more recently, in genomics, bioinformatics, and financial statistics. These disciplines are presently nourished by data mining and high-level computer-based algorithms, but to work actively with robust and nonparametric procedures, practitioners need to understand their background. Explaining the underpinnings of robust methods and recent theoretical developments, Methodology in Robust and Nonparametric Statistics provides a profound mathematically rigorous explanation of the methodology of robust and nonparametric statistical procedures. Thoroughly up-to-date, this book Presents multivariate robust and nonparametric estimation with special emphasis on affine-equivariant procedures, followed by hypotheses testing and confidence sets Keeps mathematical abstractions at bay while remaining largely theoretical Provides a pool of basic mathematical tools used throughout the book in derivations of main results The methodology presented, with due emphasis on asymptotics and interrelations, will pave the way for further developments on robust statistical procedures in more complex models. Using examples to illustrate the methods, the text highlights applications in the fields of biomedical science, bioinformatics, finance, and engineering. In addition, the authors provide exercises in the text.

Main Economic Indicators Comparative Methodological Analysis: Industry, Retail and Construction Indicators Volume 2002 Supplement 1

Comparative Methodological Analysis: Industry, Retail and Construction Indicators Volume 2002 Supplement 1

Author: OECD

Publisher: OECD Publishing

ISBN: 9264196463


Page: 80

View: 4195

This publication compares key aspects of statistical methodologies used by OECD Member countries in the compilation of industry, retail and construction indicators.

Statistical Concepts and Applications in Clinical Medicine

Author: John Aitchison,Jim W. Kay,Ian J. Lauder

Publisher: CRC Press

ISBN: 0203497414

Category: Mathematics

Page: 360

View: 1261

Statistical Concepts and Applications in Clinical Medicine presents a unique, problem-oriented approach to using statistical methods in clinical medical practice through each stage of the clinical process, including observation, diagnosis, and treatment. The authors present each consultative problem in its original form, then describe the process of problem formulation, develop the appropriate statistical models, and interpret the statistical analysis in the context of the real problem. Their treatment provides clear, accessible explanations of statistical methods. The text includes end-of-chapter exercises that help develop formulatory, analytic, and interpretative skills.

Journal of the Royal Statistical Society

(Statistics in society).. Series A

Author: N.A

Publisher: N.A


Category: Social sciences

Page: N.A

View: 6177

Journal of the Royal Statistical Society. Series A, Statistics in society

Author: N.A

Publisher: N.A


Category: Statistics

Page: N.A

View: 8997

Statistical Methods for Trend Detection and Analysis in the Environmental Sciences

Author: Richard Chandler,Marian Scott

Publisher: John Wiley & Sons

ISBN: 111999196X

Category: Mathematics

Page: 388

View: 3985

The need to understand and quantify change is fundamental throughout the environmental sciences. This might involve describing past variation, understanding the mechanisms underlying observed changes, making projections of possible future change, or monitoring the effect of intervening in some environmental system. This book provides an overview of modern statistical techniques that may be relevant in problems of this nature. Practitioners studying environmental change will be familiar with many classical statistical procedures for the detection and estimation of trends. However, the ever increasing capacity to collect and process vast amounts of environmental information has led to growing awareness that such procedures are limited in the insights that they can deliver. At the same time, significant developments in statistical methodology have often been widely dispersed in the statistical literature and have therefore received limited exposure in the environmental science community. This book aims to provide a thorough but accessible review of these developments. It is split into two parts: the first provides an introduction to this area and the second part presents a collection of case studies illustrating the practical application of modern statistical approaches to the analysis of trends in real studies. Key Features: Presents a thorough introduction to the practical application and methodology of trend analysis in environmental science. Explores non-parametric estimation and testing as well as parametric techniques. Methods are illustrated using case studies from a variety of environmental application areas. Looks at trends in all aspects of a process including mean, percentiles and extremes. Supported by an accompanying website featuring datasets and R code. The book is designed to be accessible to readers with some basic statistical training, but also contains sufficient detail to serve as a reference for practising statisticians. It will therefore be of use to postgraduate students and researchers both in the environmental sciences and in statistics.

Research Methods and Statistics in Psychology

Author: S Alexander Haslam,Craig McGarty

Publisher: SAGE

ISBN: 1446204707

Category: Psychology

Page: 520

View: 9550

'The strength of this book is in the determined approach it takes to helping the reader learn the subject matter by the inclusion of explanations of key terms and exercises. If coupled with tutorial support, this will encourage students to work harder at the subject matter - always a challenge in what many students perceive as the least accessible and interesting part of psychology. It is well worth considering as a core methods text for undergraduates or for masters students new to psychology'- John Hegarty, Times Higher Educational Supplement, Textbook Guide Research Methods and Statistics in Psychology is an accessible introduction to the principal research methods and statistical procedures that underpin psychological research. With a broad range of support materials and features it is the ideal textbook to accompany both a first and second year course. Key features of this new textbook: - Accompanying website: an interactive resource for both both teachers and students including powerpoint slides of lecture notes, self-test multiple choice questions and answers for students as well as other on-line features. To access these please click on the Companion Website logo above - Coverage of the full research process in psychology from the ground up, addressing issues to do with research goals, problem definition and hypothesis, methodological choices and strategy and ethical controversies. - Complete coverage of the key quantitative and qualitative methods now recognised in psychology. - A host of textbook features including checklists of research evaluation and improvement, discussion questions and exercises; and annotated further reading at the end of every chapter. - Appendices in the back of the textbook in conjunction with the accompanying website - step-by-step guide to performing key statistical tests and a guide to writing up experiments and reports in psychology. Research Methods and Statistics in Psychology is a comprehensive and student-friendly introductory textbook that deals with psychological research issues in depth, but which places an emphasis on the conceptual and practical skills necessary to become a good researcher.

Nonparametric Functional Data Analysis

Theory and Practice

Author: Frédéric Ferraty,Philippe Vieu

Publisher: Springer Science & Business Media

ISBN: 0387366202

Category: Mathematics

Page: 260

View: 7459

Modern apparatuses allow us to collect samples of functional data, mainly curves but also images. On the other hand, nonparametric statistics produces useful tools for standard data exploration. This book links these two fields of modern statistics by explaining how functional data can be studied through parameter-free statistical ideas. At the same time it shows how functional data can be studied through parameter-free statistical ideas, and offers an original presentation of new nonparametric statistical methods for functional data analysis.

Multiple Imputation and its Application

Author: James Carpenter,Michael Kenward

Publisher: John Wiley & Sons

ISBN: 1119942276

Category: Medical

Page: 368

View: 6753

A practical guide to analysing partially observeddata. Collecting, analysing and drawing inferences from data iscentral to research in the medical and social sciences.Unfortunately, it is rarely possible to collect all the intendeddata. The literature on inference from the resultingincomplete data is now huge, and continues to grow both asmethods are developed for large and complex data structures, and asincreasing computer power and suitable software enable researchersto apply these methods. This book focuses on a particular statistical method foranalysing and drawing inferences from incomplete data, calledMultiple Imputation (MI). MI is attractive because it is bothpractical and widely applicable. The authors aim is to clarify theissues raised by missing data, describing the rationale for MI, therelationship between the various imputation models and associatedalgorithms and its application to increasingly complex datastructures. Multiple Imputation and its Application: Discusses the issues raised by the analysis of partiallyobserved data, and the assumptions on which analyses rest. Presents a practical guide to the issues to consider whenanalysing incomplete data from both observational studies andrandomized trials. Provides a detailed discussion of the practical use of MI withreal-world examples drawn from medical and social statistics. Explores handling non-linear relationships and interactionswith multiple imputation, survival analysis, multilevel multipleimputation, sensitivity analysis via multiple imputation, usingnon-response weights with multiple imputation and doubly robustmultiple imputation. Multiple Imputation and its Application is aimed atquantitative researchers and students in the medical and socialsciences with the aim of clarifying the issues raised by theanalysis of incomplete data data, outlining the rationale for MIand describing how to consider and address the issues that arise inits application.

Main Economic Indicators

Industry, Retail and Construction Indicators. Comparative methodological analysis

Author: N.A

Publisher: N.A


Category: Construction industry

Page: N.A

View: 7720

Statistical Computing in C++ and R

Author: Randall L. Eubank,Ana Kupresanin

Publisher: CRC Press

ISBN: 1466515376

Category: Mathematics

Page: 556

View: 1225

With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather than the development and study of numerical algorithms per se. The book discusses code development in C++ and R and the use of these symbiotic languages in unison. It emphasizes that each offers distinct features that, when used in tandem, can take code writing beyond what can be obtained from either language alone. The text begins with some basics of object-oriented languages, followed by a "boot-camp" on the use of C++ and R. The authors then discuss code development for the solution of specific computational problems that are relevant to statistics including optimization, numerical linear algebra, and random number generation. Later chapters introduce abstract data structures (ADTs) and parallel computing concepts. The appendices cover R and UNIX Shell programming. Features Includes numerous student exercises ranging from elementary to challenging Integrates both C++ and R for the solution of statistical computing problems Uses C++ code in R and R functions in C++ programs Provides downloadable programs, available from the authors’ website The translation of a mathematical problem into its computational analog (or analogs) is a skill that must be learned, like any other, by actively solving relevant problems. The text reveals the basic principles of algorithmic thinking essential to the modern statistician as well as the fundamental skill of communicating with a computer through the use of the computer languages C++ and R. The book lays the foundation for original code development in a research environment.


Author: N.A

Publisher: N.A


Category: Economic history

Page: N.A

View: 4059

Organizational Psychology

A Scientist-Practitioner Approach

Author: Steve M. Jex,Thomas W. Britt

Publisher: John Wiley & Sons

ISBN: 1118724453

Category: Psychology

Page: 720

View: 8481

The foundation of organizational psychology, updated to reflectthe changing workplace Organizational Psychology: A Scientist-Practitioner Approach,Third Edition provides students with a thorough overview ofboth the science and practice of organizational psychology.Reflecting changes in the global workplace, the third editionexpands coverage of the effects of technology on processes andpersonnel, the generalizability of theories across cultures,including organizational climate, and employee health andwell-being. The new edition retains the hallmark features of thetext and Expanded coverage of the pervasive effects of technology on thesocial environment of work, including virtual work and the impactof social media. More graphics, including tables and charts, to help studentsunderstand and remember various related concepts and theories. Includes a unique full chapter on research methods and the useof statistics in understanding organizations. New chapter on the work/non-work interface, includingconsideration of both employees' life stages and changes over theircareers. Provides Instructors with comprehensive presentation andtesting materials. More on ethics, in light of relatively recent scandals incorporations and in politics. Expanded coverage throughout on cross-cultural issues anddiversity in organizations. Additional readings facilitate in-depth learning. Industrial and organizational psychologists contribute to thesuccess of an organization by improving the performance,satisfaction, and well-being of employees. By identifying howbehaviors and attitudes can be improved through hiring practices,training programs, and feedback and management systems, I/Opsychologists also help organizations transition during periods ofchange and development. Organizational Psychology: AScientist-Practitioner Approach, Third Edition is acomprehensive guide to the theory and application of behavioralscience in the workplace.

Permutation Tests in Shape Analysis

Author: LUIGI SALMASO,Chiara Brombin

Publisher: Springer Science & Business Media

ISBN: 1461481635

Category: Mathematics

Page: 95

View: 6120

Statistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and pathological bone shapes, etc. Some of the important aspects of shape analysis are to obtain a measure of distance between shapes, to estimate average shapes from a (possibly random) sample and to estimate shape variability in a sample[1]. One of the main methods used is principal component analysis. Specific applications of shape analysis may be found in archaeology, architecture, biology, geography, geology, agriculture, genetics, medical imaging, security applications such as face recognition, entertainment industry (movies, games), computer-aided design and manufacturing. This is a proposal for a new Brief on statistical shape analysis and the various new parametric and non-parametric methods utilized to facilitate shape analysis. ​ ​

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