大葉大學圖書館 |

Applied medical statistics using SAS[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	610.15195
書名/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.)
標題:	SAS (Computer file)
ISBN:	9781439867983 (electronic bk.)
ISBN:	1439867984
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.
摘要、提要註:	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.
電子資源:	http://www.crcnetbase.com/isbn/9781439867983

Applied medical statistics using SAS[electronic resource] /
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:

195413
SAS (Computer file)
Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: RA409 / .D47 2013

Dewey Class. No.: 610.15195

Applied medical statistics using SAS[electronic resource] /
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245 1 0 $a Applied medical statistics using SAS $h [electronic resource] / $c Geoff Der, Brian S. Everitt.
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300 $a 1 online resource (539 p.)
505 0 $a 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.
520 $a 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.
588 0 $a Print version record.
650 0 $a SAS (Computer file) $3 195413
655 0 $a Electronic books. $2 local $3 336502
700 1 $a Everitt, Brian S. $3 608898
856 4 0 $u http://www.crcnetbase.com/isbn/9781439867983