How to Report Statistics in Medicine, 2nd Edition (Lang & Secic)
$30
I am selling a How to Report Statistics in Medicine, 2nd Edition (Lang & Secic), ACP Paperback in excellent condition. How to Report Statistics in Medicine: Annotated Guidelines for Authors, Editors, and Reviewers (2nd Edition) by Thomas A. Lang and Michelle Secic. It’s a paperback published by the American College of Physicians in 2006, 490 pages.
This is a widely used reference for anyone who writes up, reviews or edits medical research. It works as a style manual, a statistics reference and a how-to guide. It’s written for non-statisticians but is detailed enough that biostatisticians use it too.
What’s inside
* Part I: Reporting statistics (descriptive statistics, risk measures, confidence intervals, hypothesis tests and multiple testing, correlation and regression, ANOVA, survival analysis, diagnostic tests, Bayesian analysis and epidemiological measures)
* Part II: Guidelines by study type (randomized controlled trials, cohort, case-control and cross-sectional studies)
* Part III: Systematic reviews and meta-analyses, economic evaluations, decision analyses and clinical practice guidelines
* Part IV: How to present data in tables and figures
* Part V: A guide to statistical terms and tests
* Part VI: Appendices (rules for presenting numbers, notation and symbols, spelling of statistical terms, links to other reporting guidelines, sources of bias)
Good for:
* Grad students and researchers writing theses, papers and grant applications
* Medical writers, journal editors and peer reviewers
* Epidemiology, public health, nursing, pharmacy and medical students
* Anyone who needs to present statistics correctly in a manuscript
* Condition: Excellent. The cover is clean, the binding is tight and the spine is straight. The pages have no markings.
Details
* ISBN: 978-1-930513-69-3
* Format: Softcover / paperback
* Edition: 2nd (2006)
Comes from a pet and smoke-free environment.
Pickup in Mount Pleasant (NW Calgary)
- ConditionLike new
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Nicholas Wong
Mount Pleasant
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