Health Sciences Statistics Paper
Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many areas of the health sciences, including medicine, nursing, pharmacy, dentistry, and physical therapy, but are understandable to students in any field. The book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students who plan to enter a health sciences program.Health Sciences Statistics Paper
The book begins by explaining the research context for statistics in the health sciences, which provides students with a framework for understanding why they need statistics as well as a foundation for the remainder of the text. It emphasizes kinds of variables and their relationships throughout, giving a substantive context for descriptive statistics, graphs, probability, inferential statistics, and interval estimation. The final chapter organizes the statistical procedures in a decision tree and leads students through a process of assessing research scenarios.
The authors have partnered with William Howard Beasley, who created the illustrations in the book, to offer all of the data sets, graphs, and graphing code in an online data repository via GitHub. A dedicated website gives information about the data sets and the authors’ electronic flashcards for iOS and Android devices. These flashcards help students learn new terms and concepts.Health Sciences Statistics Paper
Quantitative research guides health care decision makers with statistics–numerical data collected from measurements or observation that describe the characteristics of specific population samples.Health Sciences Statistics Paper Descriptive statistics summarize the utility, efficacy and costs of medical goods and services. Increasingly, health care organizations employ statistical analysis to measure their performance outcomes. Hospitals and other large provider service organizations implement data-driven, continuous quality improvement programs to maximize efficiency. Government health and human service agencies gauge the overall health and well-being of populations with statistical information. Researchers employ scientific methods to gather data on human population samples. The health care industry benefits from knowing consumer market characteristics such as age, sex, race, income and disabilities. These “demographic” statistics can predict the types of services that people are using and the level of care that is affordable to them.
Pharmaceutical companies constantly strive to produce effective goods and services efficiently.Health Sciences Statistics Paper Statistics are important to health care companies in measuring performance success or failure. By establishing benchmarks, or standards of service excellence, quality improvement managers can measure future outcomes. Analysts map the overall growth and viability of a health care company using statistical data. Statistical information is invaluable in determining the combination of goods and services to produce, the right resources to allocate in producing them and to which populations to offer them. Reliable statistical information minimizes the risks of health care trade-offs. Innovative medicine begins and ends with statistical analysis. Data collected and carefully reported in clinical trials of new technologies and treatments to weigh products’ benefits against their risks. Market research studies steer developers toward highly competitive product lines. Statistics indirectly influence product pricing by describing consumer demand in measurable units.Health Sciences Statistics Paper
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