Author: Steven Woloshin
Publisher: Univ of California Press
ISBN: 0520252225
Category : Family & Relationships
Languages : en
Pages : 154
Book Description
Understanding risk -- Putting risk in perspective -- Risk charts : a way to get perspective -- Judging the benefit of a health intervention -- Not all benefits are equal : understand the outcome -- Consider the downsides -- Do the benefits outweight the downsides? -- Beware of exaggerated importance -- Beware of exaggerated certainty -- Who's behind the numbers?
Know Your Chances
Author: Steven Woloshin
Publisher: Univ of California Press
ISBN: 0520252225
Category : Family & Relationships
Languages : en
Pages : 154
Book Description
Understanding risk -- Putting risk in perspective -- Risk charts : a way to get perspective -- Judging the benefit of a health intervention -- Not all benefits are equal : understand the outcome -- Consider the downsides -- Do the benefits outweight the downsides? -- Beware of exaggerated importance -- Beware of exaggerated certainty -- Who's behind the numbers?
Publisher: Univ of California Press
ISBN: 0520252225
Category : Family & Relationships
Languages : en
Pages : 154
Book Description
Understanding risk -- Putting risk in perspective -- Risk charts : a way to get perspective -- Judging the benefit of a health intervention -- Not all benefits are equal : understand the outcome -- Consider the downsides -- Do the benefits outweight the downsides? -- Beware of exaggerated importance -- Beware of exaggerated certainty -- Who's behind the numbers?
Medical Statistics
Author: Stephen J. Walters
Publisher: John Wiley & Sons
ISBN: 1119423643
Category : Medical
Languages : en
Pages : 454
Book Description
The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book. Yet it retains its central philosophy to explain medical statistics with as little technical detail as possible, making it accessible to a wide audience. Helpful multi-choice exercises are included at the end of each chapter, with answers provided at the end of the book. Each analysis technique is carefully explained and the mathematics kept to minimum. Written in a style suitable for statisticians and clinicians alike, this edition features many real and original examples, taken from the authors' combined many years' experience of designing and analysing clinical trials and teaching statistics. Students of the health sciences, such as medicine, nursing, dentistry, physiotherapy, occupational therapy, and radiography should find the book useful, with examples relevant to their disciplines. The aim of training courses in medical statistics pertinent to these areas is not to turn the students into medical statisticians but rather to help them interpret the published scientific literature and appreciate how to design studies and analyse data arising from their own projects. However, the reader who is about to design their own study and collect, analyse and report on their own data will benefit from a clearly written book on the subject which provides practical guidance to such issues. The practical guidance provided by this book will be of use to professionals working in and/or managing clinical trials, in academic, public health, government and industry settings, particularly medical statisticians, clinicians, trial co-ordinators. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations.
Publisher: John Wiley & Sons
ISBN: 1119423643
Category : Medical
Languages : en
Pages : 454
Book Description
The 5th edition of this popular introduction to statistics for the medical and health sciences has undergone a significant revision, with several new chapters added and examples refreshed throughout the book. Yet it retains its central philosophy to explain medical statistics with as little technical detail as possible, making it accessible to a wide audience. Helpful multi-choice exercises are included at the end of each chapter, with answers provided at the end of the book. Each analysis technique is carefully explained and the mathematics kept to minimum. Written in a style suitable for statisticians and clinicians alike, this edition features many real and original examples, taken from the authors' combined many years' experience of designing and analysing clinical trials and teaching statistics. Students of the health sciences, such as medicine, nursing, dentistry, physiotherapy, occupational therapy, and radiography should find the book useful, with examples relevant to their disciplines. The aim of training courses in medical statistics pertinent to these areas is not to turn the students into medical statisticians but rather to help them interpret the published scientific literature and appreciate how to design studies and analyse data arising from their own projects. However, the reader who is about to design their own study and collect, analyse and report on their own data will benefit from a clearly written book on the subject which provides practical guidance to such issues. The practical guidance provided by this book will be of use to professionals working in and/or managing clinical trials, in academic, public health, government and industry settings, particularly medical statisticians, clinicians, trial co-ordinators. Its practical approach will appeal to applied statisticians and biomedical researchers, in particular those in the biopharmaceutical industry, medical and public health organisations.
Statistics for Health Care Professionals
Author: Ian Scott
Publisher: SAGE
ISBN: 9780761974765
Category : Mathematics
Languages : en
Pages : 252
Book Description
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
Publisher: SAGE
ISBN: 9780761974765
Category : Mathematics
Languages : en
Pages : 252
Book Description
Focusing on quantative approaches to investigating problems, this title introduces the basics rules and principles of statistics, encouraging the reader to think critically about data analysis and research design, and how these factors can impact upon evidence-based practice.
Statistics for Health Data Science
Author: Ruth Etzioni
Publisher: Springer Nature
ISBN: 3030598896
Category : Medical
Languages : en
Pages : 238
Book Description
Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science. This textbook is designed to overcome students’ anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep (“organic”) understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms. Accompanying code and data sets are provided in an author site: https://roman-gulati.github.io/statistics-for-health-data-science/
Publisher: Springer Nature
ISBN: 3030598896
Category : Medical
Languages : en
Pages : 238
Book Description
Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneously informs and inspires new avenues of investigation. The challenge is that the analytic tools required go far beyond the standard methods and models of basic statistics. This textbook aims to equip health care researchers with the most important elements of a modern health analytics toolkit, drawing from the fields of statistics, health econometrics, and data science. This textbook is designed to overcome students’ anxiety about data and statistics and to help them to become confident users of appropriate analytic methods for health care research studies. Methods are presented organically, with new material building naturally on what has come before. Each technique is motivated by a topical research question, explained in non-technical terms, and accompanied by engaging explanations and examples. In this way, the authors cultivate a deep (“organic”) understanding of a range of analytic techniques, their assumptions and data requirements, and their advantages and limitations. They illustrate all lessons via analyses of real data from a variety of publicly available databases, addressing relevant research questions and comparing findings to those of published studies. Ultimately, this textbook is designed to cultivate health services researchers that are thoughtful and well informed about health data science, rather than data analysts. This textbook differs from the competition in its unique blend of methods and its determination to ensure that readers gain an understanding of how, when, and why to apply them. It provides the public health researcher with a way to think analytically about scientific questions, and it offers well-founded guidance for pairing data with methods for valid analysis. Readers should feel emboldened to tackle analysis of real public datasets using traditional statistical models, health econometrics methods, and even predictive algorithms. Accompanying code and data sets are provided in an author site: https://roman-gulati.github.io/statistics-for-health-data-science/
World Health Statistics 2020
Author: WORLD HEALTH ORGANIZATION.
Publisher:
ISBN: 9789240005112
Category :
Languages : en
Pages : 85
Book Description
The World health statistics 2020 report is the latest annual compilation of health statistics for 194 Member States. It summarizes trends in life expectancy and causes of death and reports on progress towards the health and health related Sustainable Development Goals (SDGs) and associated targets. Four indicators of emerging public health importance relating to poliomyelitis, hypertension and obesity in adults and school age children have been included. These are part of the WHO's Thirteenth General Programme of Work 2019-2023 (GPW13), which the 71st World Health Assembly approved in May 2018. The GPW13 is largely based on the SDGs and sets out WHO's strategic direction until 2023
Publisher:
ISBN: 9789240005112
Category :
Languages : en
Pages : 85
Book Description
The World health statistics 2020 report is the latest annual compilation of health statistics for 194 Member States. It summarizes trends in life expectancy and causes of death and reports on progress towards the health and health related Sustainable Development Goals (SDGs) and associated targets. Four indicators of emerging public health importance relating to poliomyelitis, hypertension and obesity in adults and school age children have been included. These are part of the WHO's Thirteenth General Programme of Work 2019-2023 (GPW13), which the 71st World Health Assembly approved in May 2018. The GPW13 is largely based on the SDGs and sets out WHO's strategic direction until 2023
Applied Spatial Statistics for Public Health Data
Author: Lance A. Waller
Publisher: John Wiley & Sons
ISBN: 0471662674
Category : Mathematics
Languages : en
Pages : 522
Book Description
While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data. This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field Requires only minimal background in public health and only some knowledge of statistics through multiple regression Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks") Exercises based on data analyses reinforce concepts
Publisher: John Wiley & Sons
ISBN: 0471662674
Category : Mathematics
Languages : en
Pages : 522
Book Description
While mapped data provide a common ground for discussions between the public, the media, regulatory agencies, and public health researchers, the analysis of spatially referenced data has experienced a phenomenal growth over the last two decades, thanks in part to the development of geographical information systems (GISs). This is the first thorough overview to integrate spatial statistics with data management and the display capabilities of GIS. It describes methods for assessing the likelihood of observed patterns and quantifying the link between exposures and outcomes in spatially correlated data. This introductory text is designed to serve as both an introduction for the novice and a reference for practitioners in the field Requires only minimal background in public health and only some knowledge of statistics through multiple regression Touches upon some advanced topics, such as random effects, hierarchical models and spatial point processes, but does not require prior exposure Includes lavish use of figures/illustrations throughout the volume as well as analyses of several data sets (in the form of "data breaks") Exercises based on data analyses reinforce concepts
Visualizing Health Care Statistics: A Data-Mining Approach
Author: Zada T. Wicker
Publisher: Jones & Bartlett Learning
ISBN: 1284197522
Category : Business & Economics
Languages : en
Pages : 268
Book Description
Visualizing Health Care Statistics: A Data-Mining Approach is an introductory statistics text that demonstrates how to visualize health care statistics using Microsoft Excel and R-Project (open source statistical software) and hands-on examples using real-world data. In each chapter, students are encouraged to apply statistical knowledge to real-world health care situations. Through this approach, students develop data gathering and analysis skills all while preparing for the national Registered Health Information Technician (RHIT) exam.
Publisher: Jones & Bartlett Learning
ISBN: 1284197522
Category : Business & Economics
Languages : en
Pages : 268
Book Description
Visualizing Health Care Statistics: A Data-Mining Approach is an introductory statistics text that demonstrates how to visualize health care statistics using Microsoft Excel and R-Project (open source statistical software) and hands-on examples using real-world data. In each chapter, students are encouraged to apply statistical knowledge to real-world health care situations. Through this approach, students develop data gathering and analysis skills all while preparing for the national Registered Health Information Technician (RHIT) exam.
Vital statistics - E-Book
Author: Stephen McKenzie
Publisher: Elsevier Health Sciences
ISBN: 0729581497
Category : Medical
Languages : en
Pages : 249
Book Description
Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: - How data relates to information, and how information relates to knowledge - How to use statistics to distinguish information from disinformation - The importance of probability, in statistics and in life - That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be - How to appropriately apply and interpret statistical measures of difference and association - How qualitative and quantitative methods differ, and when it's appropriate to use each - The special statistical needs of the health sciences, and some especially health science relevant statistics - The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses - Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. - Reader-friendly writing style - t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula - Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
Publisher: Elsevier Health Sciences
ISBN: 0729581497
Category : Medical
Languages : en
Pages : 249
Book Description
Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: - How data relates to information, and how information relates to knowledge - How to use statistics to distinguish information from disinformation - The importance of probability, in statistics and in life - That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be - How to appropriately apply and interpret statistical measures of difference and association - How qualitative and quantitative methods differ, and when it's appropriate to use each - The special statistical needs of the health sciences, and some especially health science relevant statistics - The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses - Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. - Reader-friendly writing style - t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula - Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.
Health at a Glance 2021 OECD Indicators
Author: OECD
Publisher: OECD Publishing
ISBN: 9264480919
Category :
Languages : en
Pages : 275
Book Description
Health at a Glance provides a comprehensive set of indicators on population health and health system performance across OECD members and key emerging economies. This edition has a special focus on the health impact of COVID-19 in OECD countries, including deaths and illness caused by the virus, adverse effects on access and quality of care, and the growing burden of mental ill-health.
Publisher: OECD Publishing
ISBN: 9264480919
Category :
Languages : en
Pages : 275
Book Description
Health at a Glance provides a comprehensive set of indicators on population health and health system performance across OECD members and key emerging economies. This edition has a special focus on the health impact of COVID-19 in OECD countries, including deaths and illness caused by the virus, adverse effects on access and quality of care, and the growing burden of mental ill-health.
Medical Statistics from Scratch
Author: David Bowers
Publisher: John Wiley & Sons
ISBN: 9780470724446
Category : Medical
Languages : en
Pages : 303
Book Description
This long awaited second edition of this bestseller continues toprovide a comprehensive, user friendly, down-to-earth guide toelementary statistics. The book presents a detailed account ofthe most important procedures for the analysis of data, from thecalculation of simple proportions, to a variety of statisticaltests, and the use of regression models for modeling of clinicaloutcomes. The level of mathematics is kept to a minimum to make thematerial easily accessible to the novice, and a multitude ofillustrative cases are included in every chapter, drawn from thecurrent research literature. The new edition has beencompletely revised and updated and includes new chapters on basicquantitative methods, measuring survival, measurement scales,diagnostic testing, bayesian methods, meta-analysis and systematicreviews. "... After years of trying and failing, this is the only book onstatistics that i have managed to read and understand" - NaveedKirmani, Surgical Registrar, South London Healthcare HHS Trust,UK
Publisher: John Wiley & Sons
ISBN: 9780470724446
Category : Medical
Languages : en
Pages : 303
Book Description
This long awaited second edition of this bestseller continues toprovide a comprehensive, user friendly, down-to-earth guide toelementary statistics. The book presents a detailed account ofthe most important procedures for the analysis of data, from thecalculation of simple proportions, to a variety of statisticaltests, and the use of regression models for modeling of clinicaloutcomes. The level of mathematics is kept to a minimum to make thematerial easily accessible to the novice, and a multitude ofillustrative cases are included in every chapter, drawn from thecurrent research literature. The new edition has beencompletely revised and updated and includes new chapters on basicquantitative methods, measuring survival, measurement scales,diagnostic testing, bayesian methods, meta-analysis and systematicreviews. "... After years of trying and failing, this is the only book onstatistics that i have managed to read and understand" - NaveedKirmani, Surgical Registrar, South London Healthcare HHS Trust,UK