Medical statistics from scratch : an introduction for health care professionals / David Bowers.
By: Bowers, David [author.].
2014Edition: Third edition.Description: p. ; cm.ISBN: 9781118519387 (pbk.).Subject(s): Biometry | Statistics as Topic -- methodsGenre/Form: Print books.DDC classification: 610.72/7| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | RA409 .B669 2014 (Browse shelf) | Available | AU0000000001751 |
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| RA408.5 .H36 2015 Handbook of health survey methods / | RA409 .B348 2018 Modeling public health and healthcare systems / | RA409 .B55 2015 Introduction to medical statistics / | RA409 .B669 2014 Medical statistics from scratch : an introduction for health care professionals / | RA409 .D38 2017 Statistics and data analytics for health data management / | RA409 .D43 2014 Starting out in statistics : an introduction for students of human health, disease and psychology / | RA409 .D43 2014 Starting out in statistics : an introduction for students of human health, disease and psychology / |
Includes bibliographical references and index.
First things first? : the nature of data -- Describing data with tables -- Describing data with charts -- Describing data from its shape -- Describing data with measures of location -- Describing data with measures of spread -- Confounding? : like poor(nearly) always with us -- Research design part I observational -- Research design part II experimental studies -- Getting the participants for your study. ways of sampling -- Chance would be a fine thing? : the idea of probability -- Risk and odds -- Estimating the value of a single population parameter? : the idea of confidence intervals -- Using confidence intervals to compare two population parameters -- Confidence intervals for the ratio of two population parameters -- Testing hypotheses about the difference between two population parameters -- The chi-squared test? : what, why, and how? -- Testing hypotheses about the ratio of two population parameters -- Measuring the association between two variables -- Measuring agreement -- Straight line models : linear regression -- Curvy models : logistic regression -- Measuring survival -- Systematic review and meta-analysis -- Diagnostic testing.