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Statistics

Statistics Principles And Methods [Pdf/ePub] eBook

Statistics by Richard A. Johnson,Gouri K. Bhattacharyya Book Summary:

Statistics: Principles and Methods, 8th Edition provides students and business professionals with a comprehensive introduction to statistics concepts, terminology, and methods with a wide array of practical applications. Real-world data provides an easily relatable frame of reference, while numerous examples reinforce key ideas and demonstrate critical concepts to help ease student comprehension. Designed for those seeking a highly practical introduction to statistical measurement, reasoning, and analysis, this book requires no specific mathematical background and leaves derivations behind in favor of logic, reasoning, and modern statistics software. Concepts are introduced first in a real-life setting to illustrate immediate relevancy, and are subsequently expanded to relate underlying mechanisms, limitations, and further applications. An emphasis on the relationship between validity and assumptions underscores the importance of critical thinking and the use of appropriate models while instilling thoughtful habits that lead to accuracy in interpretation. Going beyond the typical introductory text to keep the focus on application, this book gives students a deeper understanding of statistics as it is used every day across disciplines and industries.

Statistics

Statistics Principles And Methods [Pdf/ePub] eBook

Statistics by Richard A. Johnson,Gouri K. Bhattacharyya Book Summary:

Statistics: Principles and Methods, 7th Edition provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters include real-world data, designed to make the material more relevant. The numerous examples clearly demonstrate the important points of the methods. New What Will We Learn opening paragraphs set the stage for the material being discussed. Using Statistics Wisely boxes summarize key lessons. In addition, Statistics in Context sections give business professionals an understanding of applications in which a statistical approach to variation is needed.

Statistics - Principles and Methods 6th Edition with WileyPLUS Set

Statistics Principles And Methods [Pdf/ePub] eBook

Statistics - Principles and Methods 6th Edition with WileyPLUS Set by Richard A. Johnson,Gouri K. Bhattacharyya Book Summary:

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Statistics: Principles and Methods, 7e & Wiley E-Text Reg Card Set

Statistics Principles And Methods [Pdf/ePub] eBook

Statistics: Principles and Methods, 7e & Wiley E-Text Reg Card Set by Richard A. Johnson Book Summary:

Download or read Statistics: Principles and Methods, 7e & Wiley E-Text Reg Card Set book by clicking button below to visit the book download website. There are multiple format available for you to choose (Pdf, ePub, Doc).

Statistics: Principles and Methods, 6th Edition

Statistics Principles And Methods [Pdf/ePub] eBook

Statistics: Principles and Methods, 6th Edition by Richard A. Johnson Book Summary:

Johnson provides a comprehensive, accurate introduction to statistics for business professionals who need to learn how to apply key concepts. The chapters have been updated with real-world data to make the material more relevant. The revised pedagogy will help them contextualize statistical concepts and procedures. The numerous examples clearly demonstrate the important points of the methods. New What Will We Learn opening paragraphs set the stage for the material being discussed. Using Statistics Wisely boxes summarize key lessons. In addition, Statistics in Context sections give business professionals an understanding of applications in which a statistical approach to variation is needed.

Medical Statistics

Statistics Principles And Methods [Pdf/ePub] eBook

Medical Statistics by Karimassery R. Sundaram,Sada Nand Dwivedi,Vishnu Sreenivas Book Summary:

"Medical treatment is becoming more and more dependent on decisions arrived at through a variety of carefully planned and interpreted investigations. Biostatistics is recognized as the basic tool for arriving at these decisions. Today training of a medical research worker as well as a medical practitioner would be considered incomplete without a reasonable acquaintance with biostatistical techniques. The present book is aimed at providing a comprehensive treatment of the subject and to serve as a textbook of biostatistics for graduate and postgraduate medical students and for students of pharmaceutical courses. The book will be especially useful for those engaged in clinical research."--Back cover.

Statistical Methods for Global Health and Epidemiology

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Statistical Methods for Global Health and Epidemiology by Xinguang Chen,(Din) Ding-Geng Chen Book Summary:

This book examines statistical methods and models used in the fields of global health and epidemiology. It includes methods such as innovative probability sampling, data harmonization and encryption, and advanced descriptive, analytical and monitory methods. Program codes using R are included as well as real data examples. Contemporary global health and epidemiology involves a myriad of medical and health challenges, including inequality of treatment, the HIV/AIDS epidemic and its subsequent control, the flu, cancer, tobacco control, drug use, and environmental pollution. In addition to its vast scales and telescopic perspective; addressing global health concerns often involves examining resource-limited populations with large geographic, socioeconomic diversities. Therefore, advancing global health requires new epidemiological design, new data, and new methods for sampling, data processing, and statistical analysis. This book provides global health researchers with methods that will enable access to and utilization of existing data. Featuring contributions from both epidemiological and biostatistical scholars, this book is a practical resource for researchers, practitioners, and students in solving global health problems in research, education, training, and consultation.

Statistical Confidentiality

Statistics Principles And Methods [Pdf/ePub] eBook

Statistical Confidentiality by George T. Duncan,Mark Elliot,Gonzalez Juan Jose Salazar Book Summary:

Because statistical confidentiality embraces the responsibility for both protecting data and ensuring its beneficial use for statistical purposes, those working with personal and proprietary data can benefit from the principles and practices this book presents. Researchers can understand why an agency holding statistical data does not respond well to the demand, “Just give me the data; I’m only going to do good things with it.” Statisticians can incorporate the requirements of statistical confidentiality into their methodologies for data collection and analysis. Data stewards, caught between those eager for data and those who worry about confidentiality, can use the tools of statistical confidentiality toward satisfying both groups. The eight chapters lay out the dilemma of data stewardship organizations (such as statistical agencies) in resolving the tension between protecting data from snoopers while providing data to legitimate users, explain disclosure risk and explore the types of attack that a data snooper might mount, present the methods of disclosure risk assessment, give techniques for statistical disclosure limitation of both tabular data and microdata, identify measures of the impact of disclosure limitation on data utility, provide restricted access methods as administrative procedures for disclosure control, and finally explore the future of statistical confidentiality.

Introduction to Probability and Statistics

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Introduction to Probability and Statistics by Janet Susan Milton,Jesse C. Arnold Book Summary:

This well-respected text is designed for the first course in probability and statistics taken by students majoring in Engineering and the Computing Sciences. The prerequisite is one year of calculus. The text offers a balanced presentation of applications and theory. The authors take care to develop the theoretical foundations for the statistical methods presented at a level that is accessible to students with only a calculus background. They explore the practical implications of the formal results to problem-solving so students gain an understanding of the logic behind the techniques as well as practice in using them. The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis.

Cancer Registration

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Cancer Registration by Ole Møller Jensen Book Summary:

This book is the standard reference manual of cancer registration methodology and uses. It provides guidelines on all aspects, such as the establishment of a registry, collection, coding, verification and analysis of data, and the uses to which cancer registry data may be put. Emphasis is on population-based registration, which provides information on a defined population and permits calculation of incidence rates. Such registries are useful in cancer epidemiology (identification of possible aetiological factors), in planning future health services, and in monitoring the effectiveness of cancer prevention and treatment.

Principles of Managerial Statistics and Data Science

Statistics Principles And Methods [Pdf/ePub] eBook

Principles of Managerial Statistics and Data Science by Roberto Rivera Book Summary:

Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver’s race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square tests, non-parametric methods, and time series methods. The textbook: Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory Relies on Minitab to present how to perform tasks with a computer Presents and motivates use of data that comes from open portals Focuses on developing an intuition on how the procedures work Exposes readers to the potential in Big Data and current failures of its use Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data Features an appendix with solutions to some practice problems Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals.

Principles and Methods for Data Science

Statistics Principles And Methods [Pdf/ePub] eBook

Principles and Methods for Data Science by N.A Book Summary:

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with this updated volume presenting interesting and timely topics, including Competing risks, aims and methods, Data analysis and mining of microbial community dynamics, Support Vector Machines, a robust prediction method with applications in bioinformatics, Bayesian Model Selection for Data with High Dimension, High dimensional statistical inference: theoretical development to data analytics, Big data challenges in genomics, Analysis of microarray gene expression data using information theory and stochastic algorithm, Hybrid Models, Markov Chain Monte Carlo Methods: Theory and Practice, and more. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Statistics series Updated release includes the latest information on Principles and Methods for Data Science

Principles and Practices for a Federal Statistical Agency

Statistics Principles And Methods [Pdf/ePub] eBook

Principles and Practices for a Federal Statistical Agency by National Research Council,Commission on Behavioral and Social Sciences and Education,Committee on National Statistics Book Summary:

Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration. This second edition presents and comments on three basic principles that statistical agencies must embody in order to carry out their mission fully: (1) They must produce objective data that are relevant to policy issues, (2) they must achieve and maintain credibility among data users, and (3) they must achieve and maintain trust among data providers. The book also discusses 11 important practices that are means for statistical agencies to live up to the four principles. These practices include a commitment to quality and professional practice and an active program of methodological and substantive research.

Sensory Evaluation of Food: Principles and Practices

Statistics Principles And Methods [Pdf/ePub] eBook

Sensory Evaluation of Food: Principles and Practices by Harry T. Lawless,Hildegarde Heymann Book Summary:

The book is designed as a text for undergraduate and graduate courses in sensory evaluation and as a reference for industrial practitioners. It covers all the basic techniques of sensory testing, from simple discrimination tests to home use placements for consumers. It provides a practical guide to how tests are conducted and, for the reader who wishes a deeper understanding, provides the fundamental psychological and statistical theories that form the basis and rationale for sensory test design. Statistics used in sensory evaluation are demonstrated as integrated applications in the context of appropriate sensory methods and are also presented as a stand-alone material in appendixes. Statistical applications are tailored to common and relevance are obvious, and space is not wasted on designs or analyses that are not suitable for data collection from human observers. The text presents divergent philosophies in a balanced manner. Chapters are constructed so that beginning students who want only practical aspects of conducting sensory tests will find clear instructions on how tests should be conducted. Advanced students and practitioners will profit from the detailed section on rationale and sensory evaluation issues. "It covers the entire spectrum of sensory analysis. I have read many books on this intriguing subject, but this is the Rolls-Royce." a?? Aubrey Parsons, governing council member, International Union for Food Science and Technology

Principles of Medical Statistics

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Principles of Medical Statistics by Alvan R. Feinstein Book Summary:

The get-it-over-with-quickly approach to statistics has been encouraged - and often necessitated - by the short time allotted to it in most curriculums. If included at all, statistics is presented briefly, as a task to be endured mainly because pertinent questions may appear in subsequent examinations for licensure or other certifications. However, in later professional activities, clinicians and biomedical researchers will constantly be confronted with reports containing statistical expressions and analyses. Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get you thinking about data and statistical procedures. It covers many new statistical methods and approaches like box plots, stem and leaf plots, concepts of stability, the bootstrap, and the jackknife methods of resampling. The book is arranged in a logical sequence that advances from simple to more elaborate results. The text describes all the conventional statistical procedures, and offers reasonably rigorous accounts of many of their mathematical justifications. Although the conventional mathematical principles are given a respectful account, the book provides a distinctly clinical orientation with examples and teaching exercises drawn from real world medical phenomena. Statistical procedures are an integral part of the basic background needed by biomedical researchers, students, and clinicians. Containing much more than most elementary texts, Principles of Medical Statistics fills the gap often found in the current curriculum. It repairs the imbalance that gives so little attention to the role of statistics as a prime component of basic biomedical education.

Principles and Procedures of Statistics

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Principles and Procedures of Statistics by Robert George Douglas Steel,James Hiram Torrie,David A. Dickey Book Summary:

This textbook provides a thorough treatment of major statistical methods and techniques for both staticticians and non-statisticians requiring a foundation in applied statistics. There is an emphasis throughout on inference from data, the principle of fitting models by least squares, and careful interpretation of results. The authors employ SAS to produce PC-based statistical graphics and perform some analyses where appropriate. This edition includes updated real-world data sets.

Principles of Applied Statistics

Statistics Principles And Methods [Pdf/ePub] eBook

Principles of Applied Statistics by D. R. Cox,Christl A. Donnelly Book Summary:

Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation, and finally to meaningful conclusions, this book will be a valuable guide. Over a hundred illustrations from a wide variety of real applications make the conceptual points concrete, illuminating your path and deepening your understanding. This book is essential reading for anyone who makes extensive use of statistical methods in their work.

Interpretation and Uses of Medical Statistics

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Interpretation and Uses of Medical Statistics by Leslie Daly,Geoffrey J Bourke Book Summary:

In 1969 the first edition of this book introduced the concepts of statistics and their medical application to readers with no formal training in this area. While retaining this basic aim, the authors have expanded the coverage in each subsequent edition to keep pace with the increasing use and sophistication of statistics in medical research. This fifth edition has undergone major restructuring, with some sections completely rewritten; it is now more logically organized and more user friendly (with the addition of 'summary boxes' throughout the text). It incorporates new statistical techniques and approaches that have made an appearance since the last edition. In addition, some chapters or chapter headings are specifically marked to signify material that is more difficult than the material in which it is embedded - such sections or chapters can be omitted at first reading. Several new chapters have been added . "Associations: Chance, Confounded and Causal?" explains without any formulae the concepts underlying confounding, confidence intervals and p values, and the interpretation of associations observed in research investigations. Another new chapter considers sample size calculations in some detail and provides, in addition to the relevant formulae, useful tables that should give the researcher an indication of the order of magnitude of the number of subjects he or she might require in different situations.

A Text Book of Agricultural Statistics

Statistics Principles And Methods [Pdf/ePub] eBook

A Text Book of Agricultural Statistics by Irā Araṅkacāmi,R. Rangaswamy Book Summary:

This Book Is A Comprehensive Textbook Covering All The Courses Taught In Statistics At The Undergraduate And Postgraduate Levels In Agricultural Faculties Of Indian Agricultural Universities. It Also Serves As A Textbook In Conventional Universities Where Statistics Is Being Taught As Separate Papers In The Fields Of Life Sciences Like Zoology, Botany; Microbiology, Etc. It Provides A Highly Readable Account Of Testing Of Hypothesis, Sampling And Experimental Designs.This Book Can Serve As An Effective Reference Book For The Research Workers In Agriculture And Other Fields.

Principles and Methods of Research' 2006 Ed.

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Principles and Methods of Research' 2006 Ed. by N.A Book Summary:

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Bayesian Statistics

Statistics Principles And Methods [Pdf/ePub] eBook

Bayesian Statistics by S. James Press,Sheldon James Press Book Summary:

An introduction to Bayesian statistics, with emphasis on interpretation of theory, and application of Bayesian ideas to practical problems. First part covers basic issues and principles, such as subjective probability, Bayesian inference and decision making, the likelihood principle, predictivism, and numerical methods of approximating posterior distributions, and includes a listing of Bayesian computer programs. Second part is devoted to models and applications, including univariate and multivariate regression models, the general linear model, Bayesian classification and discrimination, and a case study of how disputed authorship of some of the Federalist Papers was resolved via Bayesian analysis. Includes biographical material on Thomas Bayes, and a reproduction of Bayes's original essay. Contains exercises.

Principles and Methods of Law and Economics

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Principles and Methods of Law and Economics by Nicholas L. Georgakopoulos Book Summary:

The book juxtaposes economic analysis with moral philosophy, political theory, egalitarianism, and other methodological principles.

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications

Statistics Principles And Methods [Pdf/ePub] eBook

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications by N.A Book Summary:

Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important. Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more

Forecasting: principles and practice

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Forecasting: principles and practice by Rob J Hyndman,George Athanasopoulos Book Summary:

Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

Principles and Methods of Toxicology, Fifth Edition

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Principles and Methods of Toxicology, Fifth Edition by A. Wallace Hayes Book Summary:

Founded on the paradox that all things are poisons and the difference between poison and remedy is quantity, the determination of safe dosage forms the base and focus of modern toxicology. In order to make a sound determination there must be a working knowledge of the biologic mechanisms involved and of the methods employed to define these mechanisms. While the vastness of the field and the rapid accumulation of data may preclude the possibility of absorbing and retaining more than a fraction of the available information, a solid understanding of the underlying principles is essential. Extensively revised and updated with four new chapters and an expanded glossary, this fifth edition of the classic text, Principles and Methods of Toxicology provides comprehensive coverage in a manageable and accessible format. New topics include 'toxicopanomics', plant and animal poisons, information resources, and non-animal testing alternatives. Emphasizing the cornerstones of toxicology-people differ, dose matters, and things change, the book begins with a review of the history of toxicology and followed by an explanation of basic toxicological principles, agents that cause toxicity, target organ toxicity, and toxicological testing methods including many of the test protocols required to meet regulatory needs worldwide. The book examines each method or procedure from the standpoint of technique and interpretation of data and discusses problems and pitfalls that may be associated with each. The addition of several new authors allow for a broader and more diverse treatment of the ever-changing and expanding field of toxicology. Maintaining the high-quality information and organizational framework that made the previous editions so successful, Principles and Methods of Toxicology, Fifth Edition continues to be a valuable resource for the advanced practitioner as well as the new disciple of toxicology.

Principles and Practice of Statistics

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Principles and Practice of Statistics by N.A Book Summary:

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Methods and Applications of Statistics in Clinical Trials, Volume 1

Statistics Principles And Methods [Pdf/ePub] eBook

Methods and Applications of Statistics in Clinical Trials, Volume 1 by N. Balakrishnan Book Summary:

A complete guide to the key statistical concepts essential for the design and construction of clinical trials As the newest major resource in the field of medical research, Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs presents a timely and authoritative reviewof the central statistical concepts used to build clinical trials that obtain the best results. The referenceunveils modern approaches vital to understanding, creating, and evaluating data obtained throughoutthe various stages of clinical trial design and analysis. Accessible and comprehensive, the first volume in a two-part set includes newly-written articles as well as established literature from the Wiley Encyclopedia of Clinical Trials. Illustrating a variety of statistical concepts and principles such as longitudinal data, missing data, covariates, biased-coin randomization, repeated measurements, and simple randomization, the book also provides in-depth coverage of the various trial designs found within phase I-IV trials. Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs also features: Detailed chapters on the type of trial designs, such as adaptive, crossover, group-randomized, multicenter, non-inferiority, non-randomized, open-labeled, preference, prevention, and superiority trials Over 100 contributions from leading academics, researchers, and practitioners An exploration of ongoing, cutting-edge clinical trials on early cancer and heart disease, mother-to-child human immunodeficiency virus transmission trials, and the AIDS Clinical Trials Group Methods and Applications of Statistics in Clinical Trials, Volume 1: Concepts, Principles, Trials, and Designs is an excellent reference for researchers, practitioners, and students in the fields of clinicaltrials, pharmaceutics, biostatistics, medical research design, biology, biomedicine, epidemiology,and public health.

Statistical Concepts and Methods

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Statistical Concepts and Methods by Dewey E. Johnson,Gouri K. Bhattacharyya,Richard A. Johnson,Gargi Bhattacharyya Book Summary:

This non-mathematical introductory statistics text combines clear explanation of concepts, extensive coverage of useful statistical techniques, and numerous illustrations with data from diverse fields. Throughout, the text emphasizes the assumptions and limitations of statistical methods so that gross abuses can be avoided. It strives to promote correct attitudes and thinking about statistics and its applications. This text should prove an excellent introduction and valuable reference to statistics for students and concerned lay persons.

Principles and Practices for a Federal Statistical Agency

Statistics Principles And Methods [Pdf/ePub] eBook

Principles and Practices for a Federal Statistical Agency by National Research Council,Division of Behavioral and Social Sciences and Education,Committee on National Statistics Book Summary:

Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency, updating the document every 4 years to provide a current edition to newly appointed cabinet secretaries at the beginning of each presidential administration. This fourth edition presents and comments on four basic principles that statistical agencies must embody in order to carry out their mission fully: (1) They must produce objective data that are relevant to policy issues, (2) they must achieve and maintain credibility among data users, (3) they must achieve and maintain trust among data providers, and (4) they must achieve and maintain a strong position of independence from the appearance and reality of political control. The book also discusses 11 important practices that are means for statistical agencies to live up to the four principles. These practices include a commitment to quality and professional practice and an active program of methodological and substantive research. This fourth edition adds the principle that statistical agencies must operate from a strong position of independence and the practice that agencies must have ongoing internal and external evaluations of their programs.

Principles and Practice of Mixtures Toxicology

Statistics Principles And Methods [Pdf/ePub] eBook

Principles and Practice of Mixtures Toxicology by Moiz Mumtaz Book Summary:

This first comprehensive treatment of the subject for more than a decade includes the latest research on nanoparticle toxicology. The practical handbook addresses all areas where toxic mixtures are encountered, from environmental via occupational to medical settings, giving special consideration to air and water, and to the specific requirements for study design in mixture toxicology. While no extensive prior knowledge or toxicological experience is required, the practice-oriented case studies and examples in the second part make this the ideal companion for the professional toxicologist in industry or healthcare institutions with little time for academic study.

Monitoring the Health of Populations

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Monitoring the Health of Populations by Ron Brookmeyer,Donna F. Stroup Book Summary:

Public health faces critical challenges ranging from outbreaks of new and old pathogens to the threat of bioterrorism and the impact of lifestyle and environmental changes on health. Modern tools of health surveillance and sound statistical practices are essential for meeting these challenges and providing accurate warnings about real public health threats without wasting resources on false alarms. Advances in statistical techniques, computing power and the Internet have led to many new approaches to monitoring population health, analyzing the data, and rapidly sharing it. This text explores the critical issues in the statistical analysis and interpretation of public health surveillance data. It covers statistical methods for detecting disease outbreaks and clusters, the use of survey methods, interpreting time trends and geographic patterns, exploratory statistical analysis of surveillance data, and web-based health reporting systems for the rapid detection of public health problems, among other topics. The methodological approaches are illustrated in discussions of several current public health issues, including the HIV/AIDS epidemic, anthrax, health effects of particulate air pollution, and trends in prostate cancer. The methods are broadly applicable to surveillance systems and registries for numerous health conditions, e.g. infectious diseases, chronic diseases, adverse drug reactions. The book provides numerous illustrations, worked examples, and practical information for actually implementing the methods. It will serve as a reference for public health practitioners and as a textbook for courses on disease surveillance taken by students of statistics biostatistics, epidemiology or public health.

Medical Statistics

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Medical Statistics by Michael J. Campbell,David Machin,Stephen J. Walters Book Summary:

Provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, Fourth Edition: Assumes no prior knowledge of statistics Covers all essential statistical methods Completely revised, updated and expanded Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals From the reviews of the previous edition: "The book has several excellent features: it is written by statisticians, is.... well presented, is well referenced.... and is short." THE LANCET "Many statisticians are concerned at the generally poor standard of statistics in papers published in medical journals. Perhaps this could be remedied if more research workers would spare a few hours to read through Campbell and Machin's book." BRITISH MEDICAL JOURNAL "... a simple, interesting and insightful introduction to medical statistics... highly recommended." STATISTICAL METHODS IN MEDICAL RESEARCH "Campbell and Machin found the golden mean... this book can be recommended for all students and all medical researchers." ISCB NEWSLETTER

Applied Statistical Methods

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Applied Statistical Methods by Irving W. Burr Book Summary:

Applied Statistical Methods covers the fundamental understanding of statistical methods necessary to deal with a wide variety of practical problems. This 14-chapter text presents the topics covered in a manner that stresses clarity of understanding, interpretation, and method of application. The introductory chapter illustrates the importance of statistical analysis. The next chapters introduce the methods of data summarization, including frequency distributions, cumulative frequency distributions, and measures of central tendency and variability. These topics are followed by discussions of the fundamental principles of probability, the concepts of sample spaces, outcomes, events, probability, independence of events, and the characterization of discrete and continuous random variables. Other chapters explore the distribution of several important statistics; statistical tests of hypotheses; point and interval estimation; and simple linear regression. The concluding chapters review the elements of single- and two-factor analysis of variance and the design of analysis of variance experiments. This book is intended primarily for advanced undergraduate and graduate students in the mathematical, physical, and engineering sciences, as well as in economics, business, and related areas. Researchers and line personnel in industry and government will find this book useful in self-study.