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Applied medical statistics using SAS [electronic resource] / Geoff Der, Brian S. Everitt.

By: Der, GeoffContributor(s): Everitt, Brian | Der, Geoff. Statistical analysis of medical data using SASMaterial type: TextTextPublication details: Boca Raton : CRC Press, 2013. Description: xv, 541 p. : illISBN: 9781439867983 (ebook : PDF)Subject(s): SAS (Computer file) | Medical statisticsGenre/Form: Electronic books.Additional physical formats: No titleOnline resources: Click here to access online Also available in print edition.
Contents:
1. An introduction to SAS -- 2. Statistics and measurement in medicine -- 3. Clinical trials -- 4. Epidemiology -- 5. Meta-analysis -- 6. Analysis of variance and covariance -- 7. Scatter plots, correlation, simple regression, and smoothing -- 8. Multiple linear regression -- 9. Logistic regression -- 10. Generalised linear models -- 11. Generalised additive models -- 12. Analysis of longitudinal data I -- 13. Analysis of longitudinal data II : linear mixed-effects models for normal response variables -- 14. Analysis of longitudinal data III : non-normal responses -- 15. Survival analysis -- 16. Cox's proportional hazards models for survival data -- 17. Bayesian methods -- 18. Missing values.
Summary: "Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its example-based approach, with SAS code and output included throughout and available online"--Provided by publisher.
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Rev. ed. of: Statistical analysis of medical data using SAS. 2006.

"A Chapman & Hall book."

Includes bibliographical references (p. 509-518) and index.

1. An introduction to SAS -- 2. Statistics and measurement in medicine -- 3. Clinical trials -- 4. Epidemiology -- 5. Meta-analysis -- 6. Analysis of variance and covariance -- 7. Scatter plots, correlation, simple regression, and smoothing -- 8. Multiple linear regression -- 9. Logistic regression -- 10. Generalised linear models -- 11. Generalised additive models -- 12. Analysis of longitudinal data I -- 13. Analysis of longitudinal data II : linear mixed-effects models for normal response variables -- 14. Analysis of longitudinal data III : non-normal responses -- 15. Survival analysis -- 16. Cox's proportional hazards models for survival data -- 17. Bayesian methods -- 18. Missing values.

"Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its example-based approach, with SAS code and output included throughout and available online"--Provided by publisher.

Also available in print edition.

Mode of access: World Wide Web.

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