Medical statistics and computer experiments /
This volume consists of three parts: Part I comprises 11 chapters on the basic concepts of statistics, Part II consists of 10 chapters on multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and commonly used...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New Jersey :
World Scientific,
2014.
|
Edición: | 2nd edition. |
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.