Biostatistics and Computer-Based Analysis of Health Data Using SAS

• Autore: Lalanne Christophe
• Pubblicazione: San Diego : , : Elsevier, , 2017; ©2017
• Descrizione fisica: 1 online resource (176 pages)
• Disciplina: 570.1/5195; 570.15195
• Soggetto topico: Biometry
• Altri autori: MesbahMounir
• Nota di contenuto: Front Cover -- Biostatistics and Computer-based Analysis of Health Data using SAS -- Copyright -- Contents -- Introduction -- 1. Language Elements -- 1.1. Introduction to the SAS language -- 1.2. Creating and managing SAS tables -- 1.3. Key points to remember -- 1.4. Further information -- 1.5. Applications -- 2. Simple Descriptive Statistics -- 2.1. Univariate descriptive statistics: Estimation -- 2.2. Bivariate descriptive statistics -- 2.3. Key points to remember -- 2.4. Further information -- 2.5. Applications -- 3. Measures of Association, Comparison of Means or Proportions -- 3.1. Comparison of two means -- 3.2. Comparisons of two proportions with independent samples -- 3.3. Measures of association in a contingency table -- 3.4. Comparisons of several means -- 3.5. Key points to remember -- 3.6. Further information -- 3.7. Applications -- 4. Correlation, Linear Regression -- 4.1. Linear correlation -- 4.2. Linear regression -- 4.3. Key points to remember -- 4.4. Further information -- 4.5. Applications -- 5. Logistic Regression -- 5.1. Logistic regression -- 5.2. Key points to remember -- 5.3. Further information -- 5.4. Applications -- 6. Survival Curves, Cox Regression -- 6.1. Survival curves -- 6.2. Cox regression -- 6.3. Key points to remember -- 6.4. Further information -- 6.5. Applications -- Appendices -- Appendix A: Introduction to SAS Studio -- A.1. Dialogue with Dylan to install SAS Studio -- A.2. Comments -- Appendix B: Introduction to SAS Macro -- B.1. Simple examples of SAS/MACRO programs -- B.2. Comments -- Appendix C: Introduction to SAS IML -- C.1. Example of a SAS/IML program -- C.2. Comments -- Bibliography -- Index -- Back Cover.
• Sommario/riassunto: 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.- Presents the use of SAS software in the statistical approach for the management of data modeling- Includes elements of the language and descriptive statistics- Supplies measures of association, comparison of means, and proportions for two or more samples- Explores linear and logistic regression- Provides survival data analysis
• Titolo autorizzato: Biostatistics and Computer-Based Analysis of Health Data Using SAS
• ISBN: 0-08-101171-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910583352603321
• Lo trovi qui: Univ. Federico II