國立虎尾科技大學 |

Biostatistics and computer-based analysis of health data using SAS

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Biostatistics and computer-based analysis of health data using SAS/ Christophe Lalanne, Mounir Mesbah.
作者:	Lalanne, Christophe,
其他作者:	Mesbah, Mounir,
出版者:	London :ISTE Press, : 2017.,
面頁冊數:	1 online resource.
標題:	SCIENCE / Life Sciences / General -
電子資源:	https://www.sciencedirect.com/science/book/9781785481116
ISBN:	9780081011713 (electronic bk.)

Biostatistics and computer-based analysis of health data using SAS
Lalanne, Christophe,

Biostatistics and computer-based analysis of health data using SAS[electronic resource] /Christophe Lalanne, Mounir Mesbah. - London :ISTE Press,2017. - 1 online resource. - Biostatics and health science set. - Biostatics and health science set..

Includes bibliographical references and index.

1. Language elements -- 2. Simple descriptive statistics -- 3. Measures of association, comparison of means or proportions -- 4. Correlation, linear regression -- 5. Logistic regression -- 6. Survival curves, cox regression -- Appendix A. Introduction to SAS studio -- Appendix B. Introduction to SAS Macro -- Appendix C. Introduction to SAS IML.

This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups,analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.

ISBN: 9780081011713 (electronic bk.)

LCCN: 2017302700Subjects--Uniform Titles:

SAS (Computer program).
Subjects--Topical Terms:

1311678
SCIENCE / Life Sciences / General
Index Terms--Genre/Form:

1343824
Biostatistics.

LC Class. No.: QH323.5

Dewey Class. No.: 570.1/5195

National Library of Medicine Call No.: WA 950 L195b 2017

Biostatistics and computer-based analysis of health data using SAS
LDR:02402cam a2200301 a 4500 001 1043012
006 m o d
007 cr cnu---unuuu
008 211216s2017 enka gob 001 0 eng d
010 $a 2017302700
020 $a 9780081011713 (electronic bk.)
020 $a 0081011717 (electronic bk.)
020 $a 9781785481116
020 $a 1785481118
035 $a (OCoLC)991854367
035 $a ocn991854367
040 $a N$T $b eng $c N$T $d N$T $d IDEBK $d MERUC $d OCLCF $d OCLCQ $d OPELS $d YDX $d CASUM $d WYU $d CNCGM $d OCLCO $d LQU $d S2H $d OCLCO $d OCL $d VT2 $d OCLCA
041 0 $a eng
050 4 $a QH323.5
060 4 $a WA 950 L195b 2017
082 0 4 $a 570.1/5195 $2 23
100 1 $a Lalanne, Christophe, $e author. $3 1295094
245 1 0 $a Biostatistics and computer-based analysis of health data using SAS $h [electronic resource] / $c Christophe Lalanne, Mounir Mesbah.
260 $a London : $b ISTE Press, $c 2017.
300 $a 1 online resource.
490 1 $a Biostatics and health science set
504 $a Includes bibliographical references and index.
505 0 $a 1. Language elements -- 2. Simple descriptive statistics -- 3. Measures of association, comparison of means or proportions -- 4. Correlation, linear regression -- 5. Logistic regression -- 6. Survival curves, cox regression -- Appendix A. Introduction to SAS studio -- Appendix B. Introduction to SAS Macro -- Appendix C. Introduction to SAS IML.
520 $a This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples. Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups,analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis). The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.
630 0 4 $a SAS (Computer program). $3 1343823
650 7 $a SCIENCE / Life Sciences / General $2 bisacsh $3 1311678
650 7 $a SCIENCE / Life Sciences / Biology $2 bisacsh $3 1343822
650 7 $a NATURE / Reference $2 bisacsh $3 1343821
650 1 2 $a Biostatistics. $3 783654
650 0 $a Biometry. $3 598268
655 7 $a Biostatistics. $2 fast $3 1343824
655 4 $a Electronic books. $2 local $3 554714
655 0 $a Electronic book. $2 local $3 809521
700 1 $a Mesbah, Mounir, $e author. $3 1343819
830 0 $a Biostatics and health science set. $3 1343820
856 4 0 $u https://www.sciencedirect.com/science/book/9781785481116