"Medical Statistics and Computer Experiments" - Information and Links:

Medical Statistics and Computer Experiments - Info and Reading Options

editor, Ji-Qian Fang, Sun Yat-Sen University, P. R. China, with Yongyong Xu, Fourth Military Medical, University P. R. China, Songlin Yu, Huazhong University of Science and Technology, P. R. China.

Book's cover
The cover of “Medical Statistics and Computer Experiments” - Open Library.

"Medical Statistics and Computer Experiments" was published by World Scientific Publishing Co Pte Ltd in 2014 - New Jersey, USA, it has 1020 pages and the language of the book is English.


“Medical Statistics and Computer Experiments” Metadata:

  • Title: ➤  Medical Statistics and Computer Experiments
  • Author:
  • Language: English
  • Number of Pages: 1020
  • Publisher: ➤  World Scientific Publishing Co Pte Ltd
  • Publish Date:
  • Publish Location: New Jersey, USA

“Medical Statistics and Computer Experiments” Subjects and Themes:

Edition Specifications:

  • Format: Paperback; Hardcover
  • Weight: 4 pounds
  • Dimensions: 15 x 5 x 23 centimeters
  • Pagination: ➤  xxiii, 989 pages : illustrations ; 24 cm

Edition Identifiers:

AI-generated Review of “Medical Statistics and Computer Experiments”:


"Medical Statistics and Computer Experiments" Table Of Contents:

  • 1- - pt. I. Basic concepts.
  • 2- - ch. 1. Descriptive statistics
  • 3- - ch. 2. Probability and distribution
  • 4- - ch. 3. Sampling error and confidence interval
  • 5- - ch. 4. Hypothesis testing for continuous variables
  • 6- - ch. 5. Chi-Square test for categorical variable
  • 7- - ch. 6. Further discussion on hypothesis test
  • 8- - ch. 7. Single-factor analysis of variance
  • 9- - ch. 8. Nonparametric test based on ranks
  • 10- - ch. 9. Simple linear correlation
  • 11- - ch. 10. Simple linear regression
  • 12- - ch. 11. Statistical principles for design of interventional study
  • 13- - pt. II. Multi-variate statistics.
  • 14- - ch. 12. Multiple regression and correlation
  • 15- - ch. 13. Measures of multi-variate data and multi-variate analysis of variance
  • 16- - ch. 14. Discriminant analysis
  • 17- - ch. 15. Logistic regression
  • 18- - ch. 16. Cluster analysis
  • 19- - ch. 17. Principal component analysis
  • 20- - ch. 18. Factor analysis
  • 21- - ch. 19. Canonical correlation and correspondence analysis
  • 22- - ch. 20. Survival analysis
  • 23- - ch. 21. Log-linear model for contingency table and Poisson regression
  • 24- - pt. III. Design and analysis for medical research
  • 25- - ch. 22. Multi-factor analysis of variance
  • 26- - ch. 23. Analysis of repeated continuous-type measurements
  • 27- - ch. 24. Design and analysis of cross-sectional studies
  • 28- - ch. 25. Design and analysis of prospective studies
  • 29- - ch. 26. Designs and analysis of case-control studies
  • 30- - ch. 27. Design and analysis of diagnostic and screening tests
  • 31- - ch. 28. Design and analysis of sequential experiments
  • 32- - ch. 29. Systematic review of medical research and meta-analysis
  • 33- - ch. 30. Comparative effectiveness research
  • 34- - ch. 31. Statistical methods in scale development
  • 35- - ch. 32. Statistical methods for data from genetic epidemiological study
  • 36- - ch. 33. Statistical methods in bioinformatics
  • 37- - Appendix I. Introduction to the Statistical Analysis System (SAS)*
  • 38- - Appendix II. Statistical Tables
  • 39- - Appendix III. Datasets of Some Real Medical Examples
  • 40- - Appendix IV. Answers to Exercises*
  • 41- - Appendix V. SAS Programs and Data*

Snippets and Summary:

Statistical analyses in practice usually include two parts: statistical description and statistical inference.

"Medical Statistics and Computer Experiments" Description:

The Open Library:

The Chinese version of this book has been recommended as a textbook of statistics for postgraduate program by the Office of Education Research, Ministry of Education, People's Republic of China.

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