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By Jeffrey C. Bauer

American citizens are bombarded with statistical facts each day, and healthcare execs aren't any exception. All segments of healthcare depend upon info supplied by way of insurance firms, experts, examine organizations, and the government to assist them make a number of choices in regards to the supply of clinical providers. yet whereas those wellbeing and fitness execs depend upon facts, do they truly make the easiest use of the data? now not in the event that they fail to appreciate even if the assumptions in the back of the formulation producing the numbers make experience. now not in the event that they don’t needless to say the area of healthcare is flooded with faulty, deceptive, or even risky data. Statistical research for choice Makers in Healthcare: realizing and comparing serious info in a aggressive marketplace, moment version explains the basic concepts of statistics, in addition to their universal makes use of and misuses. with out jargon or mathematical formulation, nationally popular healthcare professional and writer, Jeff Bauer, offers a transparent verbal and visible rationalization of what records fairly do. He offers a pragmatic dialogue of medical tools and knowledge to teach why data shouldn't ever be allowed to make amends for undesirable technology or undesirable info. hoping on real-world examples, Dr. Bauer stresses a conceptual figuring out that empowers readers to use a scientifically rigorous method of the assessment of knowledge. With the instruments he provides, you'll the right way to dismantle statistical facts that is going opposed to good judgment. effortless to appreciate, sensible, or even wonderful, this can be the booklet you would like you had in the event you took records in collage — and the only you're now comfortable to need to shield your self opposed to the abundance of undesirable stories and incorrect information that may in a different way corrupt your judgements.

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Additional info for Statistical Analysis for Decision Makers in Healthcare, Second Edition: Understanding and Evaluating Critical Information in Changing Times

Sample text

Policy analysts push new legislation that will presumably improve quality or increase access without increasing costs. Health benefit managers change the way their plans pay for care with the intent of reducing total costs. Management gurus claim their new technique will improve employee productivity. The list of new possibilities goes on and on, raising real-world questions for the healthcare decision maker who might make changes based on new information. r Does the new approach really make the reported difference?

A day without numbers seems almost, well, un-American. Unfortunately, we are not very discriminating when it comes to accepting data. We implicitly assume that numbers are correct, that numbers would not lie. We tend to accept data as reality. We hardly ever stop to ponder the fact that data are nothing more than arbitrarily defined measurements of the world around us. They cannot be any more accurate than the ruler or the scale or the sensor or the thermometer or the counting device that was used to take the measurements.

I particularly like the abstract formats used by the Journal of the American Medical Association and the New England Journal of Medicine. Consult a recent issue of either journal to review their formats if you are not already familiar with them. Concise and useful summaries of key articles are now included at the beginning of many scientific journals, but they do not include enough information to make qualitative assessments. Introduction and Problem Statement The opening section of the article’s narrative text should provide a clear description of the general subject area being addressed by the study.

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