Catalog

Statistical analysis of medical data using SAS

  • Der, Geoff. , Everitt, Brian
  • Chapman & Hall/CRC
  • 2006
Statistical analysis of medical data using SAS
  • Data Type
    Book
  • Title/Author
    Statistical analysis of medical data using SAS /Geoff Der, Brian S. Everitt.
  • Publication
    Boca Raton, FL :Chapman & Hall/CRC,2006.
  • Author
    Der, Geoff., Everitt, Brian
  • Phy Desc.
    428 p. :ill. ;25 cm.
  • Bibliography
    Includes bibliographical references (p. 411-415) and index.
  • Contents Note
    1. An introduction to SAS - 2. Describing and summarizing data - 3. Basic inference - 4. Scatterplots, correlation, simple regression, and smoothing - 5. Analysis of variance and covariance - 6. Multiple regression - 7. Logistic regression - 8. The generalized linear model - 9. Generalized additive models - 10. Nonlinear regression models - 11. The analysis of longitudinal data I - 12. The analysis of longitudinal data II: models for normal response variables - 13. The analysis of longitudinal data III: non-normal responses - 14. Survival analysis - 15. Analysing multivariate data: principle components and cluster analysis.
  • Topical Term
    Medicine - Data processing
    Medical records - Data processing
  • ISBN
    158488469X (alk. paper)
  • Language
    English

Holdings Summary

소장정보
No. Location Call No. Availability Due Date Request/Reservation
1 연세의학도서관/3층 구관/15서가 4열 610.285 D427s 대출가능 -

Table of Content

1. An introduction to SAS
2. Describing and summarizing data
3. Basic inference
4. Scatterplots, correlation, simple regression, and smoothing
5. Analysis of variance and covariance
6. Multiple regression
7. Logistic regression
8. The generalized linear model
9. Generalized additive models
10. Nonlinear regression models
11. The analysis of longitudinal data I
12. The analysis of longitudinal data II: models for normal response variables
13. The analysis of longitudinal data III: non-normal responses
14. Survival analysis
15. Analysing multivariate data: principle components and cluster analysis