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borderland which separates the known from the unknown”

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Medical statistics and computer experiments / [edited by] Ji-Qian Fang, Yongyong Xu, and Songlin Yu.

Contributor(s): Material type: TextTextPublication details: Singapore : World Scientific, ©2014.Edition: 2nd edDescription: xxiii, 989 p. : illustrations ; 24 cmISBN:
  • 9789814566773 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 000SB:610 23 F211
Contents:
pt. I. Basic concepts. ch. 1. Descriptive statistics -- ch. 2. Probability and distribution -- ch. 3. Sampling error and confidence interval -- ch. 4. Hypothesis testing for continuous variables -- ch. 6. Further discussion on hypothesis test -- ch. 7. Single-factor analysis of variance -- ch. 8. Nonparametric test based on ranks -- ch. 9. Simple linear correlation -- ch. 10. Simple linear regression -- ch. 11. Statistical principles for design of interventional study -- pt. II. Multi-variate statistics. ch. 12. Multiple regression and correlation -- ch. 13. Measures of multi-variate data and multi-variate analysis of variance -- ch. 14. Discriminant analysis -- ch. 15. Logistic regression -- ch. 16. Cluster analysis -- ch. 17. Principal component analysis -- ch. 18. Factor analysis -- ch. 19. Canonical correlation and correspondence analysis -- ch. 20. Survival analysis -- ch. 21. Log-linear model for contingency table and Poisson regression -- pt. III. Design and analysis for medical research ch. 22. Multi-factor analysis of variance -- ch. 23. Analysis of repeated continuous-type measurements -- ch. 24. Design and analysis of cross-sectional studies -- ch. 25. Design and analysis of prospective studies -- ch. 26. Designs and analysis of case-control studies -- ch. 27. Design and analysis of diagnostic and screening tests -- ch. 28. Design and analysis of sequential experiments -- ch. 29. Systematic review of medical research and meta-analysis -- ch. 30. Comparative effectiveness research -- ch. 31. Statistical methods in scale development -- ch. 32. Statistical methods for data from genetic epidemiological study -- ch. 33. Statistical methods in bioinformatics -- Appendices.
Summary: The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical package SAS and 100 computer experiments for the important statistical phenomena related to each chapter.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SB:610 F211 (Browse shelf(Opens below)) Available 136932
Total holds: 0

Includes bibliographical references.

pt. I. Basic concepts.
ch. 1. Descriptive statistics --
ch. 2. Probability and distribution --
ch. 3. Sampling error and confidence interval --
ch. 4. Hypothesis testing for continuous variables --
ch. 6. Further discussion on hypothesis test --
ch. 7. Single-factor analysis of variance --
ch. 8. Nonparametric test based on ranks --
ch. 9. Simple linear correlation --
ch. 10. Simple linear regression --
ch. 11. Statistical principles for design of interventional study --
pt. II. Multi-variate statistics. ch. 12. Multiple regression and correlation --
ch. 13. Measures of multi-variate data and multi-variate analysis of variance --
ch. 14. Discriminant analysis --
ch. 15. Logistic regression --
ch. 16. Cluster analysis --
ch. 17. Principal component analysis --
ch. 18. Factor analysis --
ch. 19. Canonical correlation and correspondence analysis --
ch. 20. Survival analysis --
ch. 21. Log-linear model for contingency table and Poisson regression --
pt. III. Design and analysis for medical research ch. 22. Multi-factor analysis of variance --
ch. 23. Analysis of repeated continuous-type measurements --
ch. 24. Design and analysis of cross-sectional studies --
ch. 25. Design and analysis of prospective studies --
ch. 26. Designs and analysis of case-control studies --
ch. 27. Design and analysis of diagnostic and screening tests --
ch. 28. Design and analysis of sequential experiments --
ch. 29. Systematic review of medical research and meta-analysis --
ch. 30. Comparative effectiveness research --
ch. 31. Statistical methods in scale development --
ch. 32. Statistical methods for data from genetic epidemiological study --
ch. 33. Statistical methods in bioinformatics --
Appendices.

The book is written using basic concepts and commonly used methods of design and analysis in medical statistics, incorporating the operation of statistical package SAS and 100 computer experiments for the important statistical phenomena related to each chapter.

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