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Statistical methods and reasoning for the clinical sciences : evidence-based practice
- Format:
- Book
- Author/Creator:
- Satake, Eiki, Author.
- Language:
- English
- Subjects (All):
- Health Care Evaluation Mechanisms.
- Epidemiologic Methods.
- Investigative Techniques.
- Mathematics.
- Health Occupations.
- Medicine.
- Natural Science Disciplines.
- Public Health.
- Occupations.
- Quality of Health Care.
- Health Care Quality, Access, and Evaluation.
- Environment and Public Health.
- Delivery of Health Care.
- Evidence-Based Practice.
- Statistics as Topic.
- Methods.
- Clinical Medicine.
- Medical Subjects:
- Health Care Evaluation Mechanisms.
- Epidemiologic Methods.
- Investigative Techniques.
- Mathematics.
- Health Occupations.
- Medicine.
- Natural Science Disciplines.
- Public Health.
- Occupations.
- Quality of Health Care.
- Health Care Quality, Access, and Evaluation.
- Environment and Public Health.
- Delivery of Health Care.
- Evidence-Based Practice.
- Statistics as Topic.
- Methods.
- Clinical Medicine.
- Physical Description:
- 1 online resource (593 pages)
- Edition:
- First edition.
- Place of Publication:
- [Place of publication not identified] : Plural, 2015
- Language Note:
- English
- Summary:
- Scientific literacy is the foundation to comprehending research methodology -- in its absence, medical professionals will practice "unethically" by failing to offer premier service to their communities. This text will discuss the fundamentals of statistical methods, including statistical vocabulary, population parameters, sampling methods and descriptive methods like measures, correlation and regression. Also, the topic of probability is emphasized, seeing that in order for any clinician to generate a precise diagnosis, a firm grasp of the probablilistic approach is critical.
- Contents:
- What is statistics? : descriptive and inferential statistics
- Organizing and graphing data
- Descriptive methods : measures of central tendency and variability
- Foundation of standard normal distribution : describing individual scores
- Measuring relationships : correlation
- Making predictions : regression
- The standard normal distribution
- Probability
- Hypothesis testing : one sample case for the mean
- Hypothesis testing : two sample cases for the mean
- Making inferences about population proportions
- Estimating population parameters
- Analysis of variance : one-way
- Categorical analysis : chi-square tests
- Not the most widely-used methods but important to know for determining "practical and personal significance"
- Useful research designs for clinical studies : fundamental concepts, foundations, and procedures.
- Notes:
- Bibliographic Level Mode of Issuance: Monograph
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