Overview
Here is absolutely everything medical students need to know about biostatistics and quantitative methods as applied to medicine,clinical practice,and research. Case study approach introduces problems at the beginning of each chapter,to clarify concepts. Includes CD-ROM of data sets.An ideal introduction to the study of statistics applied to medicine and other health-related fields.
*Statistical information and methods showcased in clinical,medical,and research applications
*Study design and interpretation of results of research emphasized
*Updated discussion of evidence-based medicine,determining sample sizes,studies with repeated measures over time,and logistic regression and Cox proportional hazards model
*Presenting problems,drawn from studies published in the medical literature that illustrate various statistical methods,included
*CD-ROM with statistical software and data sets derived from presenting problems highlighted in the book
*End-of-chapter exercises
*Multiple-choice final practice exam The essentials of biostatistics and quantitative methods in medicine,clinical practice,and research
*first choice of students,educators,and practitioners
*A thorough,meaningful,and interesting presentation of biostatistics
*Provides the resources to help students become informed users and consumers of biostatistics
This book contains black-and-white illustrations.
Editorials
From The Critics
Reviewer: Donald Hedeker, PhD(University of Illinois at Chicago)Description: Special emphasis is placed on research design and the interpretation of results from statistical analyses in this second edition of a book that intends to introduce and describe statistics as applied to medical research.
Purpose: The purpose is to introduce medical students, researchers, and practitioners to the use of statistics in medical research. An introduction to research design and interpretation of results is also an aim of the text. The overall goal is then to provide these medical researchers with the skills to be smart users and consumers of medical statistics.
Audience: The target audience includes medical students, researchers, and practitioners. The level of presentation seems appropriate for this audience, and the use of examples and problems that are pertinent to these individuals is a nice feature.
Features: Many illustrations are used in this book, and they help to clarify and describe important points. The statistical references provided are somewhat incomplete; more references to specific techniques (e.g., log-linear models) would be helpful for the reader wanting to go beyond the introductory description provided by this text. The typesetting of the equations is sometimes problematic. For example, superscripts are sometimes placed too far away. Also, the Greek letters in equations are notboldfaced as are the Latin letters.
Assessment: This book serves as a useful introduction to many statistical techniques for medical researchers who need to review or be familiar with these techniques. Because this book by design does not provide an in-depth discussion of any of the techniques it describes, it would be helpful if the authors provided more references for readers who want to learn more. Overall, this book provides a reasonable reference for the target audience, and the problems and examples are highlights of the text.
3 Stars from Doody