Statistical Glossary of Terms & Definitions. online introductory Statistics "text" that includes interactive data analysis and demonstrations, machine-graded online assignments and exams (a different version for every student), and a text with dynamic examples and exercises, applets illustrating key concepts, and an extensive glossary.
Philip B. Stark, Dept. of Statistics, University of California, Berkeley https://www.stat.berkeley.edu/~stark/index.html
Statistics & Analysis Calculators
Calculating and Reporting Healthcare Statistics by Loretta A. HortonCalculating and Reporting Healthcare Statistics, Fifth Edition, introduces and illustrates the basics of statistical computation so health information practitioners, who have ever-increasing contact with and uses for healthcare data, can learn about healthcare statistics and how they are generated. This text is intended for use in two- and four-year health information technician (HIT) or health information administration (HIA) programs and also serves as an excellent reference for healthcare professionals seeking to sharpen their statistical skills. The author describes how and why statistics are calculated and used, providing exercises in compiling information such as inpatient service days, length of stay, and occupancy and mortality rates. Key Features, Covers all AHIMA curriculum domains for statistics, New chapter on data analytics, Explores data presentation, inferential statistics, basic research principles, data mining, and information governance, Extensive chapter exercises with answers and rationales for odd-numbered questions, Glossary of terminology on which statistical formulas are based Book jacket.
Call Number: eBook
Publication Date: 2016
Medical Statistics Made Easy by Michael Harris; Gordon TaylorContains all you need to know to understand statistics in medicine. Medical Statistics Made Easyhas been a perennial bestseller since the first edition was published (it is consistently a #1 bestseller in medical statistics on Amazon). It is recommended worldwide on a variety of courses and programmes, from undergraduate medicine, through to professional medical qualifications. 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. This fourth edition continues with the same structure as the previous editions, with new sections on cut-off points and ROC curves, as well as a new chapter on choosing the right statistical test. It also features a completely revised and updated 'Statistics at work' section.