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Applied medical statistics using SAS
~
Der, Geoff.
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Applied medical statistics using SAS
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Applied medical statistics using SAS/ Geoff Der, Brian S. Everitt.
作者:
Der, Geoff.
其他作者:
Everitt, Brian S.
出版者:
Hoboken :CRC Press, : 2012.,
面頁冊數:
1 online resource (539 p.)
內容註:
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.
標題:
SAS (Computer file) -
電子資源:
http://www.crcnetbase.com/isbn/9781439867983
ISBN:
9781439867983 (electronic bk.)
Applied medical statistics using SAS
Der, Geoff.
Applied medical statistics using SAS
[electronic resource] /Geoff Der, Brian S. Everitt. - Hoboken :CRC Press,2012. - 1 online resource (539 p.)
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.
Designed for medical statisticians, this 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.
ISBN: 9781439867983 (electronic bk.)Subjects--Topical Terms:
519256
SAS (Computer file)
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: RA409 / .D47 2013
Dewey Class. No.: 610.15195
Applied medical statistics using SAS
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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.
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Designed for medical statisticians, this 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.
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http://www.crcnetbase.com/isbn/9781439867983
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