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Guide to Health Informatics by This essential text provides a readable yet sophisticated overview of the basic concepts of information technologies as they apply in healthcare. Spanning areas as diverse as the electronic medical record, searching, protocols, and communications as well as the Internet, Enrico Coiera has succeeded in making this vast and complex area accessible and understandable to the non-specialist, while providing everything that students of medical informatics need to know to accompany their course. Fully revised, the third edition of Guide to Health Informatics remains essential reading for all health science undergraduates, clinical health professionals, and health service managers who need to appreciate and understand the role of informatics and its associated technologies for optimal practice and service delivery.
Call Number: MED 362.10285 Coiera
Publication Date: 2015-03-12
A Gentle Introduction to Stata by
Call Number: MED 519.5 ACOCK
Publication Date: 2018-04-12
Alan C. Acock's A Gentle Introduction to Stata, Sixth Editionis aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able not only to use Stata well but also to learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset on the computer. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and good statistical habits continues throughout the book. Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material. The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material in a natural fashion. Real datasets, such as the General Social Surveys from 2002, 2006, and 2016, are used throughout the book. The focus of the book is especially helpful for those in the behavioral and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements. The sixth edition incorporates new features of Stata 15. All menus, dialog boxes, and instructions for using the point-and-click interface have been updated. Power-and-sample-size calculations for linear regression are demonstrated using Stata 15's new power rsquared command. This edition also includes new sections that describe how to evaluate convergent and discriminant validity, how to compute effect sizes for t tests and ANOVA models, how to use margins and marginsplot to interpret results of linear and logistic regression models, and how to use full-information maximum-likelihood (FIML) estimation with SEM to address problems with missing data.
Conducting Your Literature Review by
Call Number: MED 150.72 HEMPEL
Publication Date: 2019-09-10
This book is a step-by-step guide to writing a literature review, and includes tips for modifying the process as needed depending on your audience, purpose, and goals. The lessons in this book can be applied to writing the background section for a thesis or an original research publication. Literature reviews are now much more challenging to compile today than they used to be. You need a structured approach to handle the sheer volume of published research available. This book will help you formulate a strategy for making decisions about what to include and not include in your review, and produce a reliable and unbiased summary of the existing research. You will learn skills for defining research questions, using search tools and managing citations. This book is part of the American Psychological Association's Concise Guides to Conducting Behavioral, Health, and Social Science Research series. Aimed at undergraduate students in research methods courses or others with a lab or research project, each book describes a key stage in the research process. Collectively, these books provide a solid grounding in research from start to finish.