It is a book of key statistics principles for anyone studying or working in medicine and healthcare who needs a basic overview of the subject. It is ideal for non-statisticians who need to understand how statistics are used and applied in medicine and medical research. Using a consistent format, the authors describe the most common statistical methods in turn and then rate them on how difficult they are to understand and how common they are.
The worked examples that demonstrate the statistical method in action have been updated to include current articles from the medical literature and now feature a wider range of medical journals. Perhaps above everything, it is the chapter layout and design that makes this book stand out head and shoulders above the crowd.
At the beginning of each chapter two questions are posed — how important is the subject in question and how difficult is it to understand?
A star rating is then given from one to five with five stars implying use in the majority of papers published. The more thumbs, the easier the concept is to understand maximum of five. This, of course, provides a route into statistics for even the most idle of uneducated individuals! Five stars and five thumbs must surely indicate time-efficient learning! At the end of each chapter exam tips light bulb icon! The whole way in which the authors have written this book is commendable; the chapters are succinct, easy to follow and a pleasure to read Is it value for money?
Of course I never exaggerate but if you breathe, you should own this book! Written in an easy-to-understand style and packed with real life examples, the text clearly explains the statistical principles used in the medical literature.
Taking readers through the common statistical methods seen in published research and guidelines, the text focuses on how to interpret and analyse statistics for clinical practice.
Using extracts from real studies, the author illustrates how data can be employed correctly and incorrectly in medical research helping readers to evaluate the statistics they encounter and appropriately implement findings in clinical practice. End of chapter exercises, case studies and multiple choice questions help readers to apply their learning and develop their own interpretative skills.
This thoroughly revised edition includes new chapters on meta-analysis, missing data, and survival analysis. Following the familiar, easy-to-use at a Glance format, each topic is presented as a double-page spread with key facts accompanied by clear, informative tables, formulae and graphs.
The text is not culturally insensitive or offensive in any way most of time. Some examples might need to consider citing the sources or use differently to reflect current inclusive teaching strategies. Overall, it's well-written and good recourse to be an introduction to statistical methods. Some materials may not need to be covered in an one-semester course. Various examples and quizzes can be a great recourse for instructor.
The text includes the introductory statistics topics covered in a college-level semester course. An effective index and glossary are included, with functional hyperlinks. The content of this text is accurate and error-free, based on a random sampling of various pages throughout the text.
Several examples included information without formal citation, leading the reader to potential bias and discrimination. These examples should be corrected to reflect current values of inclusive teaching. The text contains relevant information that is current and will not become outdated in the near future. The statistical formulas and calculations have been used for centuries. The examples are direct applications of the formulas and accurately assess the conceptual knowledge of the reader. The text is very clear and direct with the language used.
Graphs, tables, and visual displays are clearly labeled. The terminology and framework of the text is consistent. The hyperlinks are working effectively, and the glossary is valuable. Each chapter contains modules that begin with prerequisite information and upcoming learning objectives for mastery.
The modules are clearly defined and can be used in conjunction with other modules, or individually to exemplify a choice topic. With the prerequisite information stated, the reader understands what prior mathematical understanding is required to successfully use the module. I think this rearranged version of the index would better align with current Introductory Statistics texts.
The structure is very organized with the prerequisite information stated and upcoming learner outcomes highlighted. Each module is well-defined. Adding an option of returning to the previous page would be of great value to the reader.
While progressing through the text systematically, this is not an issue, but when the reader chooses to skip modules and read select pages then returning to the previous state of information is not easily accessible.
Several examples contained data that were not formally cited. These examples need to be corrected to reflect current inclusive teaching strategies. An included solutions manual for the exercises would be valuable to educators who choose to use this text. As a text for an introductory course, standard topics are covered.
It was nice to see some topics such as power, sampling, research design and distribution free methods covered, as these are often omitted in abbreviated texts. Each module Each module introduces the topic, has appropriate graphics, illustration or worked example s as appropriate and concluding with many exercises. A comprehensive glossary provides definitions for all the major terms and concepts.
The case studies give examples of practical applications of statistical analyses. Many of the case studies contain the actual raw data.
To note is that the on-line e-book provides several calculators for the essential distributions and tests.
These are provided in lieu of printed tables which are not included in the pdf. Such tables are readily available on the web. The content is accurate and error free. Notation is standard and terminology is used accurately, as are the videos and verbal explanations therein. Online links work properly as do all the calculators. The text appears neutral and unbiased in subject and content. The text achieves contemporary relevance by ending each section with a Statistical Literacy example, drawn from contemporary headlines and issues.
Of course, the core topics are time proven. The text is very readable. Meanwhile for this same content the on-line version appears streamlined, uncluttered, enhancing the value of the active links. This terminology and symbol use are consistent throughout the text and with common use in the field. The pdf text and online version are also consistent by content, but with the online e-book offering much greater functionality.
The chapters and topics may be used in a selective manner. Certain chapters have no pre-requisite chapter and in all cases, those required are listed at the beginning of each module.
It would be straightforward to select portions of the text and reorganize as needed. The online version is highly modular offering students both ease of navigation and selection of topics. Chapter topics are arranged appropriately. In an introductory statistics course, there is a logical flow given the buildup to the normal distribution, concept of sampling distributions, confidence intervals, hypothesis testing, regression and additional parametric and non-parametric tests.
The normal distribution is central to an introductory course. Necessary precursor topics are covered in this text, while its use in significance and hypothesis testing follow, and thereafter more advanced topics, including multi-factor ANOVA. Each chapter is structured with several modules, each beginning with pre-requisite chapter s , learning objectives and concluding with Statistical Literacy sections providing a self-check question addressing the core concept, along with answer, followed by an extensive problem set.
The clear and concise learning objectives will be of benefit to students and the course instructor. No solutions or answer key is provided to students. The on-line interface works well. In fact, I was pleasantly surprised by its options and functionality. The pdf appears somewhat sparse by comparison to publisher texts, lacking pictures, colored boxes, etc. But the on-line version has many active links providing definitions and graphic illustrations for key terms and topics.
Most sections also have short videos that are professionally done, with narration and smooth graphics. In this way, the text is interactive and flexible, offering varied tools for students. The text in pdf form appeared to free of grammatical errors, as did the on-line version, text, graphics and videos.
This text contains no culturally insensitive or offensive content. The focus of the text is on concepts and explanation.
The text would be a great resource for students. The full content would be ambitious for a 1-semester course, such use would be unlikely. The text is clearly geared towards students with no statistics background nor calculus. The text could be used in two styles of course. For 1st year students early chapters on graphs and distributions would be the starting point, omitting later chapters on Chi-square, transformations, distribution-free and size effect chapters.
Alternatively, for upper level students the introductory chapters could be bypassed with the latter chapters then covered to completion. The e-book videos are an enabling tool if this approach is adopted. This is a comprehensive book on statistical methods, its settings and most importantly the interpretation of the results. But the challenge is the But the challenge is the knowledge of how to set the case, setting parameters for example confidence intervals and knowing its implication on the interpretation of the results.
If not done properly this could lead to deceptive inferences, inadvertently or purposely. This book does a great job in explaining the above using many examples and real world case studies. If you are looking for a book to learn and apply statistical methods, this is a great one. I think the author could consider revising the title of the book to reflect the above, as it is more than just an introduction to statistics, may be include the word such as practical guide.
The contents of the book seems accurate. Some plots and calculations were randomly selected and checked for accuracy. The book topics are up to date and in my opinion, will not be obsolete in the near future. I think the smartest thing the author has done is, not tied the book with any particular software such as minitab or spss.
No matter what the software is, standard deviation is calculated the same way as it is always. The contents and examples cited are clear and explained in simple language. Data analysis and presentation of the results including mathematical calculations, graphical explanation using charts, tables, figures etc are presented with clarity. Terminology is consistant. Framework for each chapter seems consistent with each chapter beginning with a set of defined topics, and each of the topic divided into modules with each module having a set of learning objectives and prerequisite chapters.
The text book is divided into chapters with each chapter further divided into modules. Each of the modules have detailed learning objectives and prerequisite required. So you can extract a portion of the book and use it as a standalone to teach certain topics or as a learning guide to apply a relevant topic.
Presentation of the topics are well thought and are presented in a logical fashion as if it would be introduced to someone who is learning the contents. However, there are some issues with table of contents and page numbers, for example chapter 17 starts in page not Also some tables and figures does not have a number, for instance the graph shown in page does not have a number.
Also it would have been better if the chapter number was included in table and figure identification, for example Figure Also in some cases, for instance page , the figures and titles are in two different pages. No major issues. Only suggestion would be, since each chapter has several modules, any means such as a header to trace back where you are currently, would certainly help.
Easy to read and phrased correctly in most cases. Minor grammatical errors such as missing prepositions etc. In some cases the author seems to have the habbit of using a period after the decimal. For instance page , etc. However it contains some statements even though given as examples that could be perceived as subjective, which the author could consider citing the sources.
For example from page Statistics include numerical facts and figures. This text covers all the standard topics in a semester long introductory course in statistics. It is particularly well indexed and very easy to navigate. There is comprehensive hyperlinked glossary.
The material is completely accurate. There are no errors. The terminology is standard with one exception: the book calls what most people call the interquartile range, the H-spread in a number of places. Ideally, the term "interquartile range" would be used in place of every reference to "H-spread. It is also more commonly used nowadays. This book came out a number of years ago, but the material is still up to date. Some more recent case studies have been added. The writing is very clear.
There are also videos for almost every section. The section on boxplots uses a lot of technical terms that I don't find are very helpful for my students hinge, H-spread, upper adjacent value. The text is internally consistent with one exception that I noted the use of the synonymous words "H-spread" and "interquartile range". It gives the reader information that will enable him to ascertain the validity of what he reads in scientific literature.
Water, an essential component of geology, is emphasized, and many published errors on water are discernible when armed with this text. This updated edition discusses a wide range of topics, including electromagnetic radiation from optics to gamma rays, atomic structure and age-dating, heat and heat flow, electricity and magnetism, stress and strain, sea waves, acoustics, and fluids and fluid flow. The book gives basic definitions and dimensions and also some warnings about misunderstanding mathematical statistics, particularly of linear regression analysis, and unenlightened computation.
Illustrated throughout with easy-to-follow diagrams and screen shots, this second edition is an indispensable handbook for every aspiring home-studio owner. A Higher Score in Less Time! We cover only the information tested on the exam, so you can make the most of your valuable study time.
Expert Test-taking Strategies and Advice. By following his advice, you can boost your score. Realistic Practice Questions — a mini-test in the book, a full-length exam online. Are you ready for your exam? Try our focused practice set inside the book.
Then go online to take our full-length practice exam.
0コメント