Download Statistical Analysis for Decision Makers in Healthcare, by Jeffrey C. Bauer PDF

By Jeffrey C. Bauer

Americans are bombarded with statistical info each day, and healthcare pros aren't any exception. All segments of healthcare depend upon information supplied by way of insurance firms, specialists, learn organisations, and the government to aid them make a number of choices in regards to the supply of clinical prone. yet whereas those well-being execs depend upon facts, do they truly make the easiest use of the data? now not in the event that they fail to appreciate no matter if the assumptions in the back of the formulation producing the numbers make experience. now not in the event that they don’t remember that the area of healthcare is flooded with misguided, deceptive, or even risky information. Statistical research for choice Makers in Healthcare: realizing and comparing serious details in a aggressive industry, moment version explains the basic concepts of facts, in addition to their universal makes use of and misuses. with no jargon or mathematical formulation, nationally popular healthcare specialist and writer, Jeff Bauer, provides a transparent verbal and visible rationalization of what data particularly do. He presents a pragmatic dialogue of clinical equipment and information to teach why facts should not be allowed to make amends for undesirable technology or undesirable facts. counting on real-world examples, Dr. Bauer stresses a conceptual figuring out that empowers readers to use a scientifically rigorous method of the review of knowledge. With the instruments he provides, you'll methods to dismantle statistical proof that is going opposed to good judgment. effortless to appreciate, functional, or even interesting, this can be the ebook you need you had for those who took data in university — and the only you're now joyful to need to protect your self opposed to the abundance of undesirable stories and incorrect information that will another way corrupt your judgements.

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

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Remember that science is a universal language with common characteristics that should be identifiable in any research that might cause you to change the way your run a medical organization or treat a patient. If a study does not pass scientific muster, you do not need to spend time evaluating the data because the study is flawed in ways that cannot be corrected by statistical analysis. Science comes first, statistics second. Learn to evaluate studies in that order so you will not commit the errors of people who look only at the statistics—people who fail to realize that the study might be built on a foundation of sand.

However, expect to find some variation in the subject headings that provide a report’s structure. Most journals use organizational structures similar to the generalized version presented here, but the specific wording and order may vary a bit. The important thing is making sure that all the topics are addressed. You must also realize that adherence to the standard format is not enough to guarantee that a study is scientifically sound. It is a good sign but not a conclusive one. A report can have all the right parts, but the parts themselves can be flawed.

6. Analyze Experimental Data for Statistical Significance Statistics, at last! The use of statistical analysis is the final step in a research trial. It is not appropriate in research studies unless all the preceding steps in the experimental process have been properly executed. Chapters 5 through 8 describe in detail how statistics should be applied to specific tasks of analyzing experimental data, so the important point here is to make sure that statistics is put in its proper place—at the end of the experiment.

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