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Biostatistics : a methodology for the health sciences / Gerald Van Belle...[et al.].

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: New Delhi : Wiley, 2014.Edition: 2nd edDescription: xi, 871 p. : illustrations ; 26 cmISBN:
  • 9788126547968
Subject(s): DDC classification:
  • 000SB:610 23 B438
Contents:
1. Introduction to biostatistics -- 2. Biostatistical design of medical studies -- 3. Descriptive statistics -- 4. Statistical inference: Populations and samples -- 5. One- and two-sample inference -- 6. Counting data -- 7. Categorical data: Contingency tables -- 8. Nonparametric, distribution-free, and permutation models: Robust procedures -- 9. Association and prediction: Linear models with one predictor variable -- 10. Analysis of variance -- 11. Association and prediction: Multiple regression analysis and linear models with multiple predictor variables -- 12. Multiple comparisons -- 13. Discrimination and classification -- 14. Principal component analysis and factor analysis -- 15. Rates and proportions -- 16. Analysis of the time to an event: Survival analysis -- 17. Sample sizes for observational studies -- 18. Longitudinal data analysis -- 19. Randomized clinical trials -- 20. Personal postscript-- Appendix-- Indexes.
Summary: An excellent introductory biostatics book with several examples and easy to understand interpretations of data analysis results.
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Includes index.

1. Introduction to biostatistics --
2. Biostatistical design of medical studies --
3. Descriptive statistics --
4. Statistical inference: Populations and samples --
5. One- and two-sample inference --
6. Counting data --
7. Categorical data: Contingency tables --
8. Nonparametric, distribution-free, and permutation models: Robust procedures --
9. Association and prediction: Linear models with one predictor variable --
10. Analysis of variance --
11. Association and prediction: Multiple regression analysis and linear models with multiple predictor variables --
12. Multiple comparisons --
13. Discrimination and classification --
14. Principal component analysis and factor analysis --
15. Rates and proportions --
16. Analysis of the time to an event: Survival analysis --
17. Sample sizes for observational studies --
18. Longitudinal data analysis --
19. Randomized clinical trials --
20. Personal postscript--
Appendix--
Indexes.

An excellent introductory biostatics book with several examples and easy to understand interpretations of data analysis results.

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