| Description |
1 online resource (viii, 93 pages) |
| Series |
Synthesis lectures on biomedical engineering ; #14 |
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Synthesis lectures on biomedical engineering (Online) ; #14.
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| Contents |
Collecting data and experimental design -- Data summary and descriptive statistics -- Why do we collect data? -- Why do we need statistics? -- What questions do we hope to address with our statistical analysis? -- How do we graphically summarize data? -- General approach to statistical analysis -- Descriptive statistics -- Assuming a probability model from the sample data -- The standard normal distribution -- The normal distribution and sample mean -- Confidence interval for the sample mean -- The t distribution -- Confidence interval using t distribution -- Statistical inference -- Comparison of population means -- Comparison of two variances -- Comparison of three or more population means -- One-factor experiments -- Linear regression and correlation analysis -- Power analysis and sample size -- Power of a test -- Power tests to determine sample size -- Just the beginning |
| Summary |
There are many books written about statistics, some brief, some detailed, some humorous, some colorful, and some quite dry. Each of these texts is designed for a specific audience. Too often, texts about statistics have been rather theoretical and intimidating for those not practicing statistical analysis on a routine basis. Thus, many engineers and scientists, who need to use statistics much more frequently than calculus or differential equations, lack sufficient knowledge of the use of statistics. The audience that is addressed in this text is the university-level biomedical engineering student who needs a bare-bones coverage of the most basic statistical analysis frequently used in biomedical engineering practice. The text introduces students to the essential vocabulary and basic concepts of probability and statistics that are required to perform the numerical summary and statistical analysis used in the biomedical field. This text is considered a starting point for important issues to consider when designing experiments, summarizing data, assuming a probability model for the data, testing hypotheses, and drawing conclusions from sampled data |
| Notes |
Title from PDF title page (viewed October 3, 2007) |
| Bibliography |
Includes bibliographical references (page 91) |
| Notes |
English |
| Subject |
Medical statistics.
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Biomedical engineering -- Statistical methods
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Biometry.
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Statistics.
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Biomedical engineering.
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Medical personnel.
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Mathematics.
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Engineering.
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Physical sciences.
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Public health.
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Medical care.
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Biomedical engineers.
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Statistics as Topic
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Biomedical Engineering
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Epidemiologic Methods
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Health Care Evaluation Mechanisms
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Health Occupations
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Mathematics
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Engineering
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Technology, Industry, and Agriculture
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Quality of Health Care
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Investigative Techniques
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Natural Science Disciplines
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Disciplines and Occupations
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Public Health
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Environment and Public Health
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Technology, Industry, Agriculture
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Analytical, Diagnostic and Therapeutic Techniques and Equipment
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Health Care Quality, Access, and Evaluation
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Delivery of Health Care
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Biometry
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Biomedical Technology
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Health Workforce
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Health Personnel
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Patient Care
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biometrics.
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biomedical engineering.
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mathematics.
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applied mathematics.
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engineering.
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physical sciences.
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public health.
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biomedical engineers.
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statistics.
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MEDICAL -- Research.
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Statistics
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Public health
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Physical sciences
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Medical personnel
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Medical care
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Mathematics
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Engineering
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Biomedical engineers
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Biomedical engineering
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Biometry
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Medical statistics
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| Genre/Form |
Medical statistics
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Medical statistics.
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| Form |
Electronic book
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| ISBN |
1598291971 |
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9781598291971 |
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9781598294491 |
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1598294490 |
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9783031016202 |
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3031016203 |
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