Topics in biostatistics
By: edited by Walter T. Ambrosius
Contributors: Ambrosius, Walter T
Series: Methods in molecular biology -- 404; Methods in molecular biology (Clifton, N.J.) --  404
Publisher: Humana Press
Published: 2007
Place of publication: Totowa, NJ
Language: eng
Number of pages: 528
ISBN-13: 9781588295620
Subjects: Biometry -- Statistical methods; Bioinformatics
Notes: Includes bibliographical references and index
Table of contents: value: 1. Study design: the basics / Hyun Ja Lim and Raymond Hoffmann; value: 2. Observational study design / Raymond Hoffmann and Hyun Ja Lim; value: 3. Descriptive statistics / Todd Nick; value: 4. Basic principles of statistical inference / Wanzhu Tu; value: 5. Statistical inference on categorical variables / Susan Perkins; value: 6. Development and evaluation of classifiers / Todd A. Alonzo and Margaret Sullivan Pepe; value: 7. Comparison of means / Nancy Berman; value: 8. Correlation and simple linear regression / Lynn E. Eberly; value: 9. Multiple linear regression / Lynn E. Eberly; value: 10. General linear models / Edward H. Ip; value: 11. Linear mixed effects models / Ann L. Oberg and Douglas W. Mahoney; value: 12. Design and analysis of experiments / Jonathan J. Shuster; value: 13. Analysis of change / James J. Grady; value: 14. Logistic regression / Todd G. Nick and Kathleen M. Campbell; value: 15. Survival analysis / Hongyu Jiang and Jason P. Fine; value: 16. Basic Bayesian methods / Mark E. Glickman and David A. van Dyk; value: 17. Overview of missing data techniques / Ralph B. D'Agostino, Jr.; value: 18. Statistical topics in the laboratory sciences / Curtis A. Parvin; value: 19. Power and sample size / L. Douglas Case and Walter T. Ambrosius; value: 20. Microarray analysis / Grier P. Page, Stanislav O. Zakharkin, Kyoungmi Kim, Tapan Mehta, Lang Chen, and Kui Zhang; value: 21. Associational methods in human genetics / Carl D. Langefeld and Tasha E. Fingerlin; value: 22. Genome mapping statistics and bioinformatics / Josyf Mychaleckyj; value: 23. Working with a statistician / Nancy Berman and Christina Gullion