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Applied medical statistics using SAS

Der, Geoff.

Applied medical statistics using SAS

Der, Geoff.

9781439867983

Boca Raton : CRC Press, 2013.

xv, 541 p. : ill.

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.

SAS (Computer file)

Medical statistics.

Everitt, Brian.

Der, Geoff. Statistical analysis of medical data using SAS.

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