Statistical Analysis for Decision Makers in Healthcare (Paperback)12th May 2009
Designed for the busy health care professional who needs to collect, analyze, and/or evaluate data, this readily accessible work explains the fundamental concepts, uses, and misuses of statistics.
Without jargon or mathematical formulas, the author introduces the practice of quantitative analysis to provide an understanding of the principles of scientific inquiry, applied to clinical medicine, program evaluation, policy analysis, management, accounting, and research. The book discusses practical scientific methods to show why statistics cannot compensate for bad science or bad data. It will help readers to intelligently evaluate the many numbers that cross their desk in the normal course of business.
We are bombarded with statistical data each and every day. Professionals across all fields utilize research data to make decisions in the course of their work, and healthcare professionals are far from the exception. Every segment of healthcare relies on research data provided by insurance companies, consulting firms, and independent research firms, as well as the federal government to help make a host of decisions regarding level of care and course of treatment, as well as administration and finance. While these professionals receive and make use of data, do they really make the best use of it?
Statistical Analysis for Decision Makers in Health Care explains in plain English the fundamental concepts regarding statistics, as well as common uses and misuses. Without jargon or mathematical formulas, it presents a clear verbal and visual explanation of what statistics really do. The book provides a practical discussion of scientific methods and data to show why statistics cannot compensate for bad science or bad data. It stresses a conceptual understanding, so readers will be able to make intelligent evaluations of the many statistic-based studies that cross their desk in the normal course of business.
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Article Id: 11349
Date Added: 12th May 2009