Common Errors in Statistics (and How to Avoid Them), Third Edition and Introduction to Statistics Through Resampling Methods and R/S-PLUS Set / Edition 3

Paperback (Print)
Not Available on BN.com
 

Overview

This set features: Common Errors in Statistics (and How to Avoid Them), Third Edition by Phillip I. Good and James W. Hardin (978-0-470-45798-6) and Introduction to Statistics Through Resampling Methods and R/S-PLUS (978-0-471-71575-7)
Read More Show Less

Product Details

  • ISBN-13: 9780470555798
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 7/7/2009
  • Edition number: 3
  • Pages: 521
  • Product dimensions: 6.00 (w) x 9.20 (h) x 1.20 (d)

Meet the Author

PHILLIP I. GOOD, PhD, is Operations Manager of Information Research, a consulting firm specializing in statistical solutions for private and public organizations and has published eighteen books.

JAMES W. HARDIN, PhD, is Associate Research Professor in the Department of Epidemiology and Biostatistics at the University of South Carolina.

Read More Show Less

Table of Contents

Preface.

PART I: FOUNDATIONS.

1. Sources of Error.

1. Prescription.

2. Fundamental Concepts.

3. Ad-hoc, post-hoc hypotheses.

2. Hypotheses: The Why of Your Research.

1. Prescription.

2. What is a hypothesis?

3. How precise must a hypothesis be?

4. Found data.

5. Null hypothesis.

6. Neyman-Pearson theory.

7. Deduction and Induction.

8. Losses.

9. Decisions.

10. To Learn More.

3. Collecting Data.

1. Preparation.

2. Response Variables.

3. Determining Sample Size.

4. Fundamental Assumptions.

5. Experimental Design.

6. Four Guidelines.

7. Are Experiments Really Necessary?

8. To Learn More.

PART II: STATISTICAL ANALYSIS.

4. Data Quality Assessment.

1. GIGO.

2. Objectives.

3. Design Review.

4. Data Review.

5. Estimation.

1. Prevention.

2. Desirable and Not-so-desirable estimators.

3. Interval Estimates.

4. Improved Results.

5. Summary.

6. To Learn More.

6. Testing Hypotheses: Choosing a Test Statistic.

1. First Steps.

2. Test Assumptions.

3. Binomial Trials.

4. Categorical Data.

5. Time to Event Data (survival analysis).

6. Comparing Means of Two Sets of Measurements.

a. Multivariate comparisons.

b. Options.

c. Testing equivalence.

d. Unequal variances.

e. Dependent observations.

7. Comparing Variances.

8. Comparing the Means of K Samples.

9. Subjective Data.

10. Independence vs. Correlation.

11. Higher Order Experimental Designs.

f. Errors in interpretation.

g. Multi-factor designs.

h.Cross-over designs.

i. Factorial designs.

j. Unbalanced designs.

12. Inferior Tests.

13. Multiple Tests.

14. Summary.

15. To Learn More.

7. Miscellaneous Statistical Procedures.

1. Bootstrap.

2. Bayesian Methodology.

3. Meta-Analysis.

4. Permutation Tests.

5. To Learn More.

PART III: REPORTS.

8. Reporting Results.

1. Fundamentals.

a. Treatment Allocation.

b. Adequacy of Blinding.

c. Missing Data.

2. Descriptive Statistics.

d. Binomial trials.

e. Categorical data.

f. Rare events.

g. Measurements.

h. Which mean?

i. Ordinal data.

j. Tables.

k. Dispersion, precision, and accuracy.

3. Standard Error.

4. p-values.

5. Confidence Intervals.

6. Recognizing and Reporting Biases.

7. Reporting Power.

8. Drawing Conclusions.

9. Summary.

10. To Learn More.

9. Interpreting Reports.

1. With A Grain of Salt.

2. Rates and Percentages.

3. Interpreting Computer Printouts.

10. Graphics.

1. Five Rules for Avoiding Bad Graphics.

2. Displaying the 3rd Dimension.

3. The Misunderstood Pie Chart.

4. Effective Display of Subgroup Information.

5. Two Rules for Text Elements.

6. Choosing The Right Display.

7. To Learn More.

PART IV: BUILDING A MODEL.

11. Univariate Regression.

1. Model Selection.

a. Scope.

b. Ambiguous relationships.

c. Confounding variables.

2. Estimating Coefficients.

3. Further Considerations.

a. Bad data.

b. Practical v. statistical significance.

c. Goodness-of-fit v. prediction.

d. Indicator variables.

e. Transformations.

f. When a straight line won’t do.

g. Curve fitting and Magic Beans.

4. Summary.

5. Checklist.

6. To Learn More.

12. Alternate Modeling Methods.

1. LAD Regression.

2. Demming or EIV Regression.

3. Quantile Regression.

4. The Ecological Fallacy.

5. Poisson and Negative Binomial Regression.

6. Nonsense Regression.

7. Summary.

8. To Learn More.

13. Multivariate Regression.

1. Caveats.

2. Correcting for Confounding Variables.

3. Keep it Simple.

4. Dynamic Models.

5. Factor Analysis.

6. Reporting Your Results.

7. A Conjecture.

8. Decision Trees.

9. Building a Successful Model.

10. To Learn More.

14. Modeling Correlated Data.

2. Common Sources of Error.

3. Panel Data.

4. Fixed and Random Effects Models.

5. GEE’s.

a. Subject-specific or population averaged?

b. Variance estimation.

6. Quick Reference for Popular Panel Estimators.

7. To Learn More.

15. Validation.

1. Objectives.

2. Methods of Validation.

a. Independent verification.

b. Split sample.

c. Resampling.

3. Measures of Predictive Success.

4. Long Term Stability.

5. To Learn More.

Appendix A.

Appendix B.

Appendix C.

Glossary .

Bibliography.

Author Index.

Subject Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously
Sort by: Showing 1 Customer Reviews
  • Anonymous

    Posted February 17, 2010

    No text was provided for this review.

Sort by: Showing 1 Customer Reviews

If you find inappropriate content, please report it to Barnes & Noble
Why is this product inappropriate?
Comments (optional)