Common errors in statistics (and how to avoid them):
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, NJ
Wiley
2012
|
| Edition: | 4. ed. |
| Subjects: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025212443&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| Item Description: | "The Fourth Edition of this tried-and-true book elaborates on many key topics such as epidemiological studies, distribution of data; baseline data incorporation; case control studies; simulations; statistical theory publication; biplots; instrumental variables; ecological regression; result reporting, survival analysis; etc. Including new modifications and figures, the book also covers such topics as research plan creation; data collection; hypothesis formulation and testing; coefficient estimates; sample size specifications; assumption checking; p-values interpretations and confidence intervals; counts and correlated data; model building and testing; Bayes' Theorem; bootstrap and permutation tests; and more"-- Provided by publisher. Incl. bibliogr. references and index |
| Physical Description: | XIV, 336 S. graph. Darst. |
| ISBN: | 9781118294390 |
Staff View
MARC
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| 500 | |a Incl. bibliogr. references and index | ||
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Record in the Search Index
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| adam_text | Contents
Preface
xi
PART I FOUNDATIONS
1
1.
Sources of Error
3
Prescription
4
Fundamental Concepts
5
Surveys and
Long-Term
Studies
9
Ad
-Нос,
Post-Hoc Hypotheses
9
To Learn More
13
2.
Hypotheses: The Why of Your Research
15
Prescription
15
What Is a Hypothesis?
16
How Precise Must a Hypothesis Be?
17
Found Data
18
Null or Nil Hypothesis
19
Neyman-Pearson Theory
20
Deduction and Induction
25
Losses
26
Decisions
27
To Learn More
28
3.
Collecting Data
31
Preparation
31
Response Variables
32
Determining Sample Size
37
Fundamental Assumptions
46
Experimental Design
47
CONTENTS V
Four Guidelines
49
Are Experiments Really Necessary?
53
To Learn More
54
PART II STATISTICAL ANALYSIS
57
4.
Data Quality Assessment
59
Objectives
60
Review the Sampling Design
60
Data Review
62
To Learn More
63
5.
Estimation
65
Prevention
65
Desirable and Not-So-Desirable Estimators
68
Interval Estimates
72
Improved Results
77
Summary
78
To Learn More
78
6.
Testing Hypotheses: Choosing a Test Statistic
79
First Steps
80
Test Assumptions
82
Binomial Trials
84
Categorical Data
85
Time-To-Event Data (Survival Analysis)
86
Comparing the Means of Two Sets of Measurements
90
Do Not Let Your Software Do Your Thinking For You
99
Comparing Variances
100
Comparing the Means of
К
Samples
105
Higher-Order Experimental Designs
108
Inferior Tests
113
Multiple Tests
114
Before You Draw Conclusions
115
Induction
116
Summary
117
To Learn More
117
7.
Strengths and Limitations of Some Miscellaneous
Statistical Procedures
119
Nonrandom Samples
119
Modern Statistical Methods
120
Bootstrap
121
Vi
CONTENTS
Bayesian Methodology
123
Meta-Analysis
131
Permutation Tests
135
To Learn More
137
8.
Reporting Your Results
139
Fundamentals
139
Descriptive Statistics
144
Ordinal Data
149
Tables
149
Standard Error
151
^-Values
155
Confidence Intervals
156
Recognizing and Reporting Biases
158
Reporting Power
160
Drawing Conclusions
160
Publishing Statistical Theory
162
A Slippery Slope
162
Summary
163
To Learn More
163
9.
Interpreting Reports
165
With a Grain of Salt
165
The Authors
166
Cost-Benefit Analysis
167
The Samples
167
Aggregating Data
168
Experimental Design
168
Descriptive Statistics
169
The Analysis
169
Correlation and Regression
171
Graphics
171
Conclusions
172
Rates and Percentages
174
Interpreting Computer Printouts
175
Summary
178
To Learn More
178
10.
Graphics
181
Is a Graph Really Necessary?
182
KISS
182
The Soccer Data
182
Five Rules for Avoiding Bad Graphics
183
CONTENTS
VÜ
One Rule for Correct Usage of Three-Dimensional
Graphics
194
The Misunderstood and Maligned Pie Chart
196
Two Rules for Effective Display of Subgroup
Information
198
Two Rules for Text Elements in Graphics
201
Multidimensional Displays
203
Choosing Effective Display Elements
209
Oral Presentations
209
Summary
210
To Learn More
211
PARTIU
BUILDING A MODEL
213
11.
Univariate Regression
215
Model Selection
215
Stratification
222
Further Considerations
226
Summary
233
To Learn More
234
12.
Alternate Methods of Regression
237
Linear Versus Nonlinear Regression
238
Least-Absolute-Deviation Regression
238
Quantile Regression
243
Survival Analysis
245
The Ecological Fallacy
246
Nonsense Regression
248
Reporting the Results
248
Summary
248
To Learn More
249
13. Multivariable
Regression
251
Caveats
251
Dynamic Models
256
Factor Analysis
256
Reporting Your Results
258
A Conjecture
260
Decision Trees
261
Building a Successful Model
264
To Learn More
265
VUl CONTENTS
14.
Modeling Counts and Correlated Data
267
Counts
268
Binomial Outcomes
268
Common Sources of Error
269
Panel Data
270
Fixed- and Random-Effects Models
270
Population-Averaged Generalized Estimating Equation
Models (GEEs)
271
Subject-Specific or Population-Averaged?
272
Variance Estimation
272
Quick Reference for Popular Panel Estimators
273
To Learn More
275
15.
Validation
277
Objectives
277
Methods of Validation
278
Measures of Predictive Success
283
To Learn More
285
Glossary
287
Bibliography
291
Author Index
319
Subject Index
329
CONTENTS
ІХ
|
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| author_GND | (DE-588)130601152 (DE-588)128751835 |
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| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
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| discipline | Mathematik |
| edition | 4. ed. |
| format | Book |
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| id | DE-604.BV040358538 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T16:13:20Z |
| institution | BVB |
| isbn | 9781118294390 |
| language | English |
| lccn | 2012005888 |
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| publisher | Wiley |
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| spellingShingle | Good, Phillip I. 1937- Hardin, James W. 1963- Common errors in statistics (and how to avoid them) Statistik Statistics MATHEMATICS / Probability & Statistics / General bisacsh Irrtum (DE-588)4140092-6 gnd Denkfehler (DE-588)4230931-1 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4140092-6 (DE-588)4230931-1 (DE-588)4056995-0 |
| title | Common errors in statistics (and how to avoid them) |
| title_auth | Common errors in statistics (and how to avoid them) |
| title_exact_search | Common errors in statistics (and how to avoid them) |
| title_full | Common errors in statistics (and how to avoid them) Phillip I. Good ; James W. Hardin |
| title_fullStr | Common errors in statistics (and how to avoid them) Phillip I. Good ; James W. Hardin |
| title_full_unstemmed | Common errors in statistics (and how to avoid them) Phillip I. Good ; James W. Hardin |
| title_short | Common errors in statistics (and how to avoid them) |
| title_sort | common errors in statistics and how to avoid them |
| topic | Statistik Statistics MATHEMATICS / Probability & Statistics / General bisacsh Irrtum (DE-588)4140092-6 gnd Denkfehler (DE-588)4230931-1 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Statistik Statistics MATHEMATICS / Probability & Statistics / General Irrtum Denkfehler |
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