BN.com Gift Guide

The A-Z of Error-Free Research

Be the first to write a review

Overview

A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R Code
The A–Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation, and how to design an experiment, determine optimal sample size, and collect useable data. It also helps you choose the best statistical procedures for your application and takes you ...

See more details below
Paperback
$44.34
BN.com price
(Save 11%)$49.95 List Price
Other sellers (Paperback)
  • All (9) from $43.85   
  • New (7) from $43.85   
  • Used (2) from $44.28   
Sending request ...

More About This Book

Overview

A Practical Guide with Step-by-Step Explanations, Numerous Worked Examples, and R Code
The A–Z of Error-Free Research describes the design, analysis, modeling, and reporting of experiments, clinical trials, and surveys. The book shows you when to use statistics, the best ways to cope with variation, and how to design an experiment, determine optimal sample size, and collect useable data. It also helps you choose the best statistical procedures for your application and takes you step by step through model development and reporting results for publication.

Transition from Student to Researcher
Helping you become a confident researcher, the book begins with an overview of when—and when not—to use statistics. It guides you through the planning and data collection phases and presents various data analysis techniques, including methods for sample size determination. The author then covers techniques for developing models that provide a basis for future research. He also discusses reporting techniques to ensure your research efforts get the proper credit. The book concludes with case-control and cohort studies.

Read More Show Less

Editorial Reviews

From the Publisher
"Making the transition from student to professional researcher can be a daunting experience. This book can serve as a valuable refresher on hypothesis testing, coping with variation, data collection, sample size decisions and more, along with cursory explanation of R output largely based on freely available data sets. … This is high-level material to aid the reader in becoming a confident researcher … . For the reader who wants to put theory to practice, and do it in R, this work can be a guide to success in analyzing and collection categorical data, detecting confounding, bootstrap approaches, case-control and cohort studies, and more."
—Tom Schulte, MAA Reviews, April 2013
Read More Show Less

Product Details

  • ISBN-13: 9781439897379
  • Publisher: Taylor & Francis
  • Publication date: 8/3/2012
  • Pages: 269

Meet the Author

Phillip I. Good is a mathematical statistician with nearly 40 years of experience in the field. He has published hundreds of articles on microcomputers and has authored nine books, including A Practitioner’s Guide to Resampling for Data Analysis, Data Mining, and Modeling and Applying Statistics in the Courtroom: A New Approach for Attorneys and Expert Witnesses. He was among the first to apply the bootstrap method in his analyses of 2 × 2 designs with a missing cell. He has also contributed to other areas of small sample statistics, including a uniformly most powerful unbiased permutation test for Type I censored data, an exact test for comparing variances, and an exact test for cross-over designs. He earned a PhD in mathematical statistics from the University of California at Berkeley.

Read More Show Less

Table of Contents

Research Essentials
 Prescription
Fundamental Concepts
Precautions
Will the Data Require Statistical Methods?
Summary

PLANNING
Hypotheses and Losses
Prescription
State the Objectives of Your Research
Gather Qualitative Data
Formulating Hypotheses
Specify the Decisions and Associated Costs
Specify the Alternatives
Summary
To Learn More

Coping with Variation
Prescription
Start with Your Reports
List All Outcomes of Interest
List All Sources of Variation
Describe How You Will Cope with Sources of Variation
Establish a Time Line
Should the Study Be Performed?
To Learn More

Experimental Design
Prescription
Define the Study Population
The Purpose of Experimental Design
K.I.S.S?
Summary
To Learn More

DATA COLLECTION
Fundamentals
Prescription
How Will You Make Your Measurements?
Formal Descriptions of Methods and Materials
Put Your Data in a Computer and Keep It There
Forestall Disaster
To Learn More

Quality Control
Prescription
Potential Sources of Error
Preventive Measures
Make Baseline Measurements
Conduct a Pilot Study
Monitor the Data Collection Process
Monitor the Data
To Learn More

ANALYZING YOUR DATA
Describing the Data
Prescription
Box and Whiskers Plot
Which Statistic?
Interval Estimates
Confidence Intervals for the Population Mean
Confidence Intervals for Proportions
Estimated from Randomized Responses
Confidence Intervals for Other Population
Characteristics
An Improved Bootstrap
Summary
To Learn More

Hypothesis Tests
Prescription
Types of Data
Analyzing Data from a Single Population
Comparing Two Populations
Comparing Three or More Populations
Experimental Designs
To Learn More

Multiple Variables and Multiple Tests
Prescription
Multiple Variables
Multiple Tests
To Learn More

Miscellaneous Hypothesis Tests
Prescription
Hypothesis Tests and Confidence Intervals
Testing for Equivalence
When Variables Are Not Identically Distributed
Testing for Trend

Sample Size Determination
Prescription
Prepare a Budget
Final Sample Size
Initial Sample Size
To Learn More

BUILDING A MODEL
Ordinary Least Squares
Prescription
Linear Regression
Improving the Fit
Increasing the Number of Predictors
Analysis of Variance
Summary
To Learn More

Alternate Regression Methods
Prescription
LAD Regression
Quantile Regression
Errors-in-Variables Regression
Generalized Linear Models
Classification
Modeling Survival Data
Principal Component Analysis
Summary
To Learn More

Decision Trees
Prescription
How Trees Are Grown
Incorporating Existing Knowledge
Using the Decision Tree as an Aid to Decision Making
Summary
To Learn More

REPORTING YOUR RESULTS
Reports
Prescription
Choose a Journal
Methods and Materials
Results
Reporting Your Analyses
Discussion
Introduction
Abstract
Bibliography
Responding to Rejection
To Learn More

Oral Presentations
Prescription
Text
Graphs
Tables

Better Graphics
Prescription
Creating Graphs with R
To Learn More

NONRANDOM SAMPLES
Cohort and Case-Control Studies
A Worked-Through Example
Prescription
Examples
To Learn More

R Primer

Bibliography

Author Index

Subject Index

R Function 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:

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