Statistical Research with SAS - Design, Analysis, Interpretation: Ready To Use (Paperback)


This is an educational material book for college students to do statistical research by using SAS. SAS programming has been difficult for students, because Statistics students don't know how to write computer programs, and Computer Science students have no idea about statistical research. This book formulates 28 SAS programs for research; so that students don't need specialized programming skill to write their own codes. To use the programs of the book, students only need to follow the instructions from the book to design the statistical experiments, and use the students' data replaced the old data from the book. SAS can do the analysis by click of the button. This book also gives specific interpretation of each SAS output to help students understand their research results. 1. Histogram 2. Confidence interval 3. T-Test 4. Paired T Test 5. QQ Plot 6. T-Test with Two Treatment Groups 7. Wilcoxon Test 8. One-Way ANOVA 9. Two-Way ANOVA 10. Chi Square Test 11. Fisher Exact Test 12. Linear Regression 13. Kaplan Meier Survival Curve 14. Cochran-Mantel-Haenszel (CMH) test 15. Sample Size for Continuous Data 16. Power for Continuous Data 17. Minimal Relevant Difference for Continuous Data 18. Sample Size for Proportion 19. Power for Proportion 20. Minimal Relevant Difference for Proportion 21. Complete Randomization Allocation 22. Efron's Biased Coin Design 23. Truncated Binomial Randomization 24. Random Allocation Rule 25. Permuted Block Design 26. Linear Regression with Treatment Effect and Interaction 27. Logistic is Regression for Proportion 28. Proportional Hazards Model

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Product Description

This is an educational material book for college students to do statistical research by using SAS. SAS programming has been difficult for students, because Statistics students don't know how to write computer programs, and Computer Science students have no idea about statistical research. This book formulates 28 SAS programs for research; so that students don't need specialized programming skill to write their own codes. To use the programs of the book, students only need to follow the instructions from the book to design the statistical experiments, and use the students' data replaced the old data from the book. SAS can do the analysis by click of the button. This book also gives specific interpretation of each SAS output to help students understand their research results. 1. Histogram 2. Confidence interval 3. T-Test 4. Paired T Test 5. QQ Plot 6. T-Test with Two Treatment Groups 7. Wilcoxon Test 8. One-Way ANOVA 9. Two-Way ANOVA 10. Chi Square Test 11. Fisher Exact Test 12. Linear Regression 13. Kaplan Meier Survival Curve 14. Cochran-Mantel-Haenszel (CMH) test 15. Sample Size for Continuous Data 16. Power for Continuous Data 17. Minimal Relevant Difference for Continuous Data 18. Sample Size for Proportion 19. Power for Proportion 20. Minimal Relevant Difference for Proportion 21. Complete Randomization Allocation 22. Efron's Biased Coin Design 23. Truncated Binomial Randomization 24. Random Allocation Rule 25. Permuted Block Design 26. Linear Regression with Treatment Effect and Interaction 27. Logistic is Regression for Proportion 28. Proportional Hazards Model

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Product Details

General

Imprint

Createspace Independent Publishing Platform

Country of origin

United States

Release date

July 2010

Availability

Expected to ship within 10 - 15 working days

First published

July 2010

Authors

Dimensions

229 x 152 x 6mm (L x W x T)

Format

Paperback - Trade

Pages

108

ISBN-13

978-1-4537-2081-3

Barcode

9781453720813

Categories

LSN

1-4537-2081-2



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