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