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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.
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.
Author: United Nations. Statistical Office Publisher: ISBN: Category : Mathematics Languages : en Pages : 242
Book Description
The publication is an international standard on the design and operation of an efficient and accurate vital statistics system at national level. It provides guidelines on collection, compiling and disseminating vital statistics. More specifically it contains (a) basic principles for a vital statistics system; (b) uses of vital statistics and civil registration records; (c) topics to be covered in a vital statistics system; (d) sources of vital statistics and how they function; (e) quality assurance in the vital statistics system and (f) strategies in improving civil registration and vital statistics systems in countries. It also informs policy makers and the general public on the importance of vital statistics and hence further improving the vital statistics system.
Author: National Research Council Publisher: National Academies Press ISBN: 0309166136 Category : Medical Languages : en Pages : 310
Book Description
Disparities in health and health care across racial, ethnic, and socioeconomic backgrounds in the United States are well documented. The reasons for these disparities are, however, not well understood. Current data available on race, ethnicity, SEP, and accumulation and language use are severely limited. The report examines data collection and reporting systems relating to the collection of data on race, ethnicity, and socioeconomic position and offers recommendations.
Author: Institute of Medicine Publisher: National Academies Press ISBN: 0309324963 Category : Medical Languages : en Pages : 245
Book Description
Thousands of measures are in use today to assess health and health care in the United States. Although many of these measures provide useful information, their usefulness in either gauging or guiding performance improvement in health and health care is seriously limited by their sheer number, as well as their lack of consistency, compatibility, reliability, focus, and organization. To achieve better health at lower cost, all stakeholders - including health professionals, payers, policy makers, and members of the public - must be alert to what matters most. What are the core measures that will yield the clearest understanding and focus on better health and well-being for Americans? Vital Signs explores the most important issues - healthier people, better quality care, affordable care, and engaged individuals and communities - and specifies a streamlined set of 15 core measures. These measures, if standardized and applied at national, state, local, and institutional levels across the country, will transform the effectiveness, efficiency, and burden of health measurement and help accelerate focus and progress on our highest health priorities. Vital Signs also describes the leadership and activities necessary to refine, apply, maintain, and revise the measures over time, as well as how they can improve the focus and utility of measures outside the core set. If health care is to become more effective and more efficient, sharper attention is required on the elements most important to health and health care. Vital Signs lays the groundwork for the adoption of core measures that, if systematically applied, will yield better health at a lower cost for all Americans.
Author: Stephen McKenzie
Author: Stephen McKenzie
Author: Robert D. Grove
Author: United Nations. Statistical Office
Author: National Center for Health Statistics (U.S.)
Author: 
Author: United States. National Committee on Vital and Health Statistics
Author: United States. National Committee on Vital and Health Statistics
Author: Alice M. Hetzel
Author: National Research Council
Author: Institute of Medicine