Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Making Sense Of Statistics In Healthcare PDF full book. Access full book title Making Sense Of Statistics In Healthcare.
| Author | : Anna Hart |
| Publisher | : Radcliffe Publishing |
| Total Pages | : 180 |
| Release | : 2001 |
| Genre | : Biometry |
| ISBN | : 9781857754728 |
Book is unique in being written for people who want to be able to make sense of published studies, or embark on their own studies, without getting bogged down by the details of how to use specific methods.
| Author | : Munier Hossain |
| Publisher | : Cambridge University Press |
| Total Pages | : 202 |
| Release | : 2021-10-21 |
| Genre | : Medical |
| ISBN | : 1108976603 |
Do you want to know what a parametric test is and when not to perform one? Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you! Physicians need to understand the principles behind medical statistics. They don't need to learn the formula. The software knows it already! This book explains the fundamental concepts of medical statistics so that the learner will become confident in performing the most commonly used statistical tests. Each chapter is rich in anecdotes, illustrations, questions, and answers. Not enough? There is more material online with links to free statistical software, webpages, multimedia content, a practice dataset to get hands-on with data analysis, and a Single Best Answer questionnaire for the exam.
| Author | : Ian Scott |
| Publisher | : SAGE |
| Total Pages | : 252 |
| Release | : 2005-02-09 |
| Genre | : Medical |
| ISBN | : 9780761974765 |
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.
| Author | : Jeffrey C. Bauer |
| Publisher | : CRC Press |
| Total Pages | : 184 |
| Release | : 2017-08-09 |
| Genre | : Business & Economics |
| ISBN | : 1439800774 |
Americans are bombarded with statistical data each and every day, and healthcare professionals are no exception. All segments of healthcare rely on data provided by insurance companies, consultants, research firms, and the federal government to help them make a host of decisions regarding the delivery of medical services. But while these health pro
| Author | : Marjorie A. Pett |
| Publisher | : SAGE |
| Total Pages | : 369 |
| Release | : 2003-03-21 |
| Genre | : Mathematics |
| ISBN | : 0761919503 |
Many health care practitioners and researchers are aware of the need to employ factor analysis in order to develop more sensitive instruments for data collection. Unfortunately, factor analysis is not a unidimensional approach that is easily understood by even the most experienced of researchers. Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs. This accessible volume will help both novice and experienced health care professionals to Increase their knowledge of the use of factor analysis in health care research Understand journal articles that report the use of factor analysis in test construction and instrument development Create new data collection instruments Examine the reliability and structure of existing health care instruments Interpret and report computer-generated output from a factor analysis run Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. To facilitate learning, the authors provide concrete testing examples, three appendices of additional information, and a glossary of key terms. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers.
| Author | : Edoardo CERVONI |
| Publisher | : |
| Total Pages | : 106 |
| Release | : 2021-10-28 |
| Genre | : |
| ISBN | : |
This book stems from the need I felt to learn, use and explain some fundamental concepts of medical statistics. Unfortunately, this topic is often hostile and poorly digested, and it is not easy to explain clinical decisions based on statistical concepts. But it is right that the attending physician tries to explain the possible therapeutic options with their pros and cons in clear language. I decided to avoid using complex mathematical formulas in writing the book since they are nothing more than a language. If this language is not known to the reader, the message cannot be clearly understood. Furthermore, there is a vast pool of available statistical software platforms that can return the test results. The user needs to know how to collect the data, which test to use and what significance to give to the results. Unlike other medical statistics books on the market, the text also deals with heuristics, biases and noise in judgment, which is fundamental to understanding the factors that influence our judgments when mathematical measurements and their analysis are impossible. In this text, I address the problems inherent in the composition of the samples compared, their homogeneity and how these obstacles can be mitigated by randomized sampling. In the book, I explain how there are various levels of knowledge related to that of the individual - doctor/patient - a large group of individuals - related to medical statistics - or a large population - the risk management of the population. Finally, a lesson from reading this text concerns the risks of attributing statistical data from a population to the individual. For example, suppose an individual contributes to the average group or population they are part of. In that case, it is essential to remember that the attribution of the characteristics of the average to the individual must be avoided. The content of the book is aimed at students of medicine, physiotherapy, nursing and pharmaceutical sciences. However, I am also sure that many doctors and healthcare professionals can benefit from reading.
| Author | : David Spiegelhalter |
| Publisher | : Penguin UK |
| Total Pages | : 217 |
| Release | : 2021-10-07 |
| Genre | : Medical |
| ISBN | : 0241541085 |
'I couldn't imagine a better guidebook for making sense of a tragic and momentous time in our lives. Covid by Numbers is comprehensive yet concise, impeccably clear and always humane' Tim Harford How many people have died because of COVID-19? Which countries have been hit hardest by the virus? What are the benefits and harms of different vaccines? How does COVID-19 compare to the Spanish flu? How have the lockdown measures affected the economy, mental health and crime? This year we have been bombarded by statistics - seven day rolling averages, rates of infection, excess deaths. Never have numbers been more central to our national conversation, and never has it been more important that we think about them clearly. In the media and in their Observer column, Professor Sir David Spiegelhalter and RSS Statistical Ambassador Anthony Masters have interpreted these statistics, offering a vital public service by giving us the tools we need to make sense of the virus for ourselves and holding the government to account. In Covid by Numbers, they crunch the data on a year like no other, exposing the leading misconceptions about the virus and the vaccine, and answering our essential questions. This timely, concise and approachable book offers a rare depth of insight into one of the greatest upheavals in history, and a trustworthy guide to these most uncertain of times.
| Author | : Janet L. Peacock |
| Publisher | : Oxford University Press |
| Total Pages | : 307 |
| Release | : 2017-07-21 |
| Genre | : Medical |
| ISBN | : 0192526731 |
As many medical and healthcare researchers have a love-hate relationship with statistics, the second edition of this practical reference book may make all the difference. Using practical examples, mainly from the authors' own research, the book explains how to make sense of statistics, turn statistical computer output into coherent information, and help decide which pieces of information to report and how to present them. The book takes you through all the stages of the research process, from the initial research proposal, through ethical approval and data analysis, to reporting on and publishing the findings. Helpful tips and information boxes, offer clear guidance throughout, including easily followed instructions on how to: -develop a quantitative research proposal for ethical/institutional approval or research funding -write up the statistical aspects of a paper for publication -choose and perform simple and more advanced statistical analyses -describe the statistical methods and present the results of an analysis. This new edition covers a wider range of statistical programs - SAS, STATA, R, and SPSS, and shows the commands needed to obtain the analyses and how to present it, whichever program you are using. Each specific example is annotated to indicate other scenarios that can be analysed using the same methods, allowing you to easily transpose the knowledge gained from the book to your own research. The principles of good presentation are also covered in detail, from translating relevant results into suitable extracts, through to randomised controlled trials, and how to present a meta-analysis. An added ingredient is the inclusion of code and datasets for all analyses shown in the book on our website (http://medical-statistics.info). Written by three experienced biostatisticians based in the UK and US, this is a step-by-step guide that will be invaluable to researchers and postgraduate students in medicine, those working in the professions allied to medicine, and statisticians in consultancy roles.
| Author | : Nolwazi Mkhwanazi |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : Families |
| ISBN | : 9780796925855 |
"What impact do economic, demographic, and social change have on the everyday health and well being of families and households in contemporary South Africa? The authors explore this question in twenty-nine case studies of people with diverse backgrounds in terms of ethnicity, class, sex and gender, age, and location, considering the influence of these factors across the life course."--Amazon.com viewed Aug. 6, 2021
| Author | : David Bowers |
| Publisher | : John Wiley & Sons |
| Total Pages | : 303 |
| Release | : 2008-04-15 |
| Genre | : Medical |
| ISBN | : 9780470724446 |
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
