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Gordis Epidemiology E-Book

Gordis Epidemiology E-Book

David D Celentano | Moyses Szklo

(2018)

Additional Information

Book Details

Abstract

From the Department of Epidemiology at Johns Hopkins University and continuing in the tradition of award-winning educator and epidemiologist Dr. Leon Gordis, comes the fully revised 6th Edition of Gordis Epidemiology. This bestselling text provides a solid introduction to basic epidemiologic principles as well as practical applications in public health and clinical practice, highlighted by real-world examples throughout. New coverage includes expanded information on genetic epidemiology, epidemiology and public policy, and ethical and professional issues in epidemiology, providing a strong basis for understanding the role and importance of epidemiology in today’s data-driven society.

  • Covers the basic principles and concepts of epidemiology in a clear, uniquely memorable way, using a wealth of full-color figures, graphs, charts, and cartoons to help you understand and retain key information.
  • Reflects how epidemiology is practiced today, with a new chapter organization progressing from observation and developing hypotheses to data collection and analyses.
  • Features new end-of-chapter questions for quick self-assessment, and a glossary of genetic terminology.
  • Provides more than 200 additional multiple-choice epidemiology self-assessment questions online.
  • Evolve Instructor Resources, including a downloadable image and test bank, are available to instructors through their Elsevier sales rep or via request at: https://evolve.elsevier.com

Table of Contents

Section Title Page Action Price
Front Cover cover
Inside Front Cover ifc1
Half title page i
Note to Instructors ii
Gordis Epidemiology iii
Copyright Page iv
In Memoriam v
Preface vi
Acknowledgments ix
Table Of Contents xi
I The Epidemiologic Approach to Disease and Intervention 1
1 Introduction 2
What Is Epidemiology? 2
Objectives of Epidemiology 2
Changing Patterns of Community Health Problems 3
Epidemiology and Prevention 5
Primary, Secondary, and Tertiary Prevention 6
Two Approaches to Prevention: a Different View 6
Epidemiology and Clinical Practice 7
Epidemiologic Approach 7
From Observations to Preventive Actions 9
Ignáz Semmelweis and Childbed Fever 9
Edward Jenner and Smallpox 12
John Snow and Cholera 14
When the Frequency of a Disease Declines, Who Deserves the Credit? 16
Integrating Prevention and Treatment 18
Conclusion 19
References 19
2 The Dynamics of Disease Transmission 20
Learning Objectives 20
Modes of Transmission 20
Clinical and Subclinical Disease 21
Clinical Disease 23
Nonclinical (Inapparent) Disease 23
Carrier Status 23
Endemic, Epidemic, and Pandemic 23
Disease Outbreaks 26
Immunity and Susceptibility 26
Herd Immunity 27
Incubation Period 28
Attack Rate 32
Exploring Occurrence of Disease 32
WHO 32
Gonorrhea 32
Pertussis 32
When 34
Where 35
Outbreak Investigation 36
Cross-Tabulation 36
Conclusion 38
References 39
Review Questions for Chapter 2 39
3 The Occurrence of Disease 41
Learning Objectives 41
Surveillance 41
Passive and Active Surveillance 42
Stages of Disease in an Individual and in a Population 43
Measures of Morbidity 44
Incidence Rate 44
People at Risk Who Are Observed Throughout a Defined Time Period 45
When All People Are Not Observed for the Full Time Period, Person-Time, or Units of Time When Each Person Is Observed 46
Identifying NEW Cases in Order to Calculate Incidence 49
Attack Rate 50
Prevalence 51
Problems With Incidence and Prevalence Measurements 55
Problems With Numerators 55
Problems With Denominators 56
Problems With Hospital Data 58
Relationship Between Incidence and Prevalence 59
Geographic Information System 61
Conclusion 62
References 62
Review Questions for Chapter 3 62
4 The Occurrence of Disease 65
Learning Objectives 65
Measures of Mortality 65
Mortality Rates 68
Case-Fatality 69
Proportionate Mortality 69
Years of Potential Life Lost 71
Why Look at Mortality? 73
Problems With Mortality Data 76
Comparing Mortality in Different Populations 80
Direct Age Adjustment 82
Indirect Age Adjustment (Standardized Mortality Ratios) 84
The Cohort Effect 85
Interpreting Observed Changes in Mortality 86
Other Measures of the Impact of Disease 86
Quality of Life 86
Projecting the Future Burden of Disease 87
Conclusion 89
References 89
Review Questions FOR CHAPTER 4 90
5 Assessing the Validity and Reliability of Diagnostic and Screening Tests 94
Learning Objectives 94
Biologic Variation of Human Populations 94
Validity of Screening Tests 95
Tests With Dichotomous Results (Positive or Negative) 95
Tests of Continuous Variables 97
Use of Multiple Tests 99
Sequential (Two-Stage) Testing 99
Simultaneous Testing 101
Net Sensitivity Using Two Simultaneous Tests 102
Net Specificity Using Two Simultaneous Tests 104
Comparison of Simultaneous and Sequential Testing 105
Predictive Value of a Test 106
Relationship Between Positive Predictive Value and Disease Prevalence 107
Relationship Between Positive Predictive Value and Specificity of the Test 109
Reliability (Repeatability) of Tests 111
Intrasubject Variation 111
Intraobserver Variation 111
Interobserver Variation 112
Percent Agreement 112
Kappa Statistic 113
Rationale of the Kappa Statistic. 115
Calculation of the Kappa Statistic: An Example. 115
Validity of Tests With Multicategorical Results. 117
Validity of Self-Reports. 117
Relationship Between Validity and Reliability 117
Conclusion 118
References 118
Appendices to Chapter 5 119
Review Questions for Chapter 5 121
6 The Natural History of Disease 123
Learning Objectives 123
Case-Fatality 125
Person-Years 125
Five-Year Survival 126
Observed Survival 128
Rationale for the Life Table 128
Calculating a Life Table 132
The Kaplan-Meier Method 134
Assumptions Made in Using Life Tables and Kaplan-Meier Method 136
Example of Use of a Life Table 137
Apparent Effects on Prognosis of Improvements in Diagnosis 138
Median Survival Time 141
Relative Survival 141
Generalizability of Survival Data 142
Conclusion 143
References 143
Review Questions for Chapter 6 144
II Using Epidemiology to Identify the Cause of Disease 147
7 Observational Studies 149
Learning Objectives 149
Case Reports and Case Series 149
Ecologic Studies 150
Cross-Sectional Studies 154
Case-Control Studies 157
Design of a Case-Control Study 157
Potential Biases in Case-Control Studies 159
Selection Bias 159
Sources of Cases. 159
Using Incident or Prevalent Cases. 159
Selection of Controls 160
Sources of Controls. 161
Use of Nonhospitalized People as Controls. 161
Use of Hospitalized Patients as Controls. 162
Problems in Control Selection. 163
Information Bias 165
Problems of Recall. 165
Limitations in Recall. 165
Recall Bias. 166
Other Issues in Case-Control Studies 167
Matching 167
Group Matching. 167
Individual Matching. 168
Practical Problems With Matching. 168
Conceptual Problems With Matching. 168
Use of Multiple Controls 169
Controls of the Same Type. 169
Multiple Controls of Different Types. 169
When Is a Case-Control Study Warranted? 171
Case-Crossover Design 172
Conclusion 174
References 174
Review Questions for Chapter 7 175
8 Cohort Studies 178
Learning Objectives 178
Design of a Cohort Study 178
Selection of Study Populations 179
Types of Cohort Studies 180
Examples of Cohort Studies 181
Example 1: The Framingham Study 181
Example 2: Incidence of Breast Cancer and Progesterone Deficiency 182
Cohort Studies for Investigating Childhood Health and Disease 183
Potential Biases in Cohort Studies 185
Selection Biases 185
Information Biases 186
When Is a Cohort Study Warranted? 186
Case-Control Studies Based Within a Defined Cohort 187
Nested Case-Control Studies 187
Case-Cohort Studies 189
Advantages of Embedding a Case-Control Study in a Defined Cohort 189
Conclusion 190
References 190
Review Questions for Chapter 8 191
9 Comparing Cohort and Case-Control Studies 193
10 Assessing Preventive and Therapeutic Measures 197
Learning Objectives 197
Selection of Subjects 199
Allocating Subjects to Treatment Groups Without Randomization 199
Studies Without Comparison 199
Studies With Comparison 200
Historical Controls 200
Simultaneous Nonrandomized Controls 200
Allocating Subjects Using Randomization 201
What Is the Main Purpose of Randomization? 205
Stratified Randomization 205
Data Collection on Subjects 205
Treatment (Assigned and Received) 206
Outcome 206
All-Cause Mortality Outcome (“Public Health Outcome”) 206
Prognostic Profile at Entry 206
Masking (Blinding) 207
Crossover 208
Factorial Design 211
Noncompliance 213
Conclusion 214
References 214
11 Randomized Trials 216
Learning Objectives 216
Sample Size 216
Recruitment and Retention of Study Participants 222
Ways of Expressing the Results of Randomized Trials 222
Interpreting the Results of Randomized Trials 223
Generalizability of Results Beyond the Study Population 223
What Can the Results of a Randomized Trial Tell a Treating Physician About an Individual Patient? 224
Comparative Effectiveness Research 226
Four Phases in Testing New Drugs in the United States 226
Five Major Randomized Trials in the United States 227
The Hypertension Detection and Follow-Up Program 227
The Multiple Risk Factor Intervention Trial 229
Study of Breast Cancer Prevention Using Tamoxifen 230
Randomized Trials for Evaluating Widely Accepted Interventions 231
A Trial of Arthroscopic Knee Surgery for Osteoarthritis 231
Effect of Group Psychosocial Support on Survival of Patients With Metastatic Breast Cancer 233
Registration of Clinical Trials 234
Ethical Considerations 235
Conclusion 235
Epilogue 235
References 236
Review Questions for Chapters 10 and 11 237
12 Estimating Risk 240
Learning Objectives 240
Absolute Risk 240
How Do We Determine Whether a Certain Disease Is Associated With a Certain Exposure? 241
Relative Risk 242
Concept of Relative Risk 242
Interpreting the Relative Risk 242
Calculating the Relative Risk in Cohort Studies 243
Odds Ratio (Relative Odds) 245
Defining the Odds Ratio in Cohort and in Case-Control Studies 245
Odds Ratio in Cohort Studies 246
Odds Ratio in a Case-Control Study 248
Interpreting the Odds Ratio 248
When Is the Odds Ratio a Good Estimate of the Relative Risk? 248
Examples of Calculating Odds Ratios in Case-Control Studies 250
Calculating the Odds Ratio in an Unmatched Case-Control Study 250
Calculating the Odds Ratio in a Matched-Pairs Case-Control Study 251
Conclusion 253
References 253
Review Questions for Chapter 12 253
Appendix to Chapter 12 257
(1) Formula 1: 257
(2) Formula 2: 257
(3) Formula 3: 257
13 More on Risk 259
Learning Objectives 259
Attributable Risk 259
Attributable Risk for the Exposed Group 259
Formula 13.1 260
Formula 13.2 260
Attributable Risk for the Total Population—Population Attributable Risk 261
Formula 13.3 262
Formula 13.4 262
An Example of an Attributable Risk Calculation for the Exposed Group 262
Formula 13.1 262
Formula 13.2 263
An Example of an Attributable Risk Calculation in the Total Population (Population Attributable Risk) 263
Formula 13.3 263
Formula 13.3 264
Formula 13.4 264
Comparison of Relative Risk and Attributable Risk 264
Conclusion 266
References 267
Review Questions for Chapter 13 267
Appendix to Chapter 13: Levin’s Formula for the Attributable Risk for the Total Population 268
14 From Association to Causation 269
Learning Objectives 269
Approaches for Studying Disease Etiology 269
Approaches to Etiology in Human Populations 270
Types of Associations 271
Real or Spurious Associations 271
Interpreting Real Associations 271
Types of Causal Relationships 274
Necessary and Sufficient 274
Necessary but Not Sufficient 274
Sufficient but Not Necessary 275
Neither Sufficient nor Necessary 275
Evidence for a Causal Relationship 275
Guidelines for Judging Whether an Observed Association Is Causal 276
Deriving Causal Inferences: Two Examples 280
Peptic Ulcers and Gastric Cancer in Relation to Infection With Helicobacter Pylori 280
Age of Onset of Alcohol Use and Lifetime Alcohol Abuse 281
Modifications of the Guidelines for Causal Inferences 282
Conclusion 286
References 286
Review Questions for Chapter 14 287
15 More on Causal Inference 289
Learning Objectives 289
Bias 289
Selection Bias 289
Information Bias 292
Confounding 294
Interaction 299
Conclusion 304
References 305
Review Questions for Chapter 15 305
16 Identifying the Roles of Genetic and Environmental Factors in Disease Causation 307
Learning Objectives 307
Traditional Genetics 307
Complex Diseases 308
How Epidemiologic Study Designs Can Clarify the Roles of Genetic and Environmental Factors in Risk to Disease 309
Twin Studies 309
Adoption Studies 312
Time Trends in Disease Incidence 313
Migrant Studies 314
How Genetic Markers Are Used to Map Genes Controlling Risk to Diseases, Including Complex Diseases 316
Linkage Analysis in Family Studies 317
Association Studies 318
Interaction Between Genetic and Environmental Risk Factors 320
Precision Medicine 322
Prospects for the Future 323
Conclusion 324
References 324
Review Questions for Chapter 16 326
Glossary of Genetic Terms for Chapter 16 328
III Applying Epidemiology to Evaluation and Policy 332
17 Using Epidemiology to Evaluate Health Services 333
Learning Objectives 333
Studies of Process and Outcome 334
Studies of Process 334
Studies of Outcome 335
Efficacy, Effectiveness, and Efficiency 335
Efficacy 335
Effectiveness 335
Efficiency 335
Measures of Outcome 335
Comparing Epidemiologic Studies of Disease Etiology and Epidemiologic Research Evaluating Effectiveness of Health Services 336
Evaluation Using Group Data 337
Outcomes Research 338
Potential Biases in Evaluating Health Services Using Group Data 339
Two Indices Used in Ecologic Studies of Health Services 340
Evaluation Using Individual Data 341
Randomized Designs 342
Nonrandomized Designs 344
Before–After Design (Historical Controls) 344
Simultaneous Nonrandomized Design (Program–No Program) 345
Comparison of Utilizers and Nonutilizers 346
Comparison of Eligible and Ineligible Populations 347
Combination Designs 348
Case-Control Studies 350
Conclusion 350
References 351
Review Questions for Chapter 17 351
18 Epidemiologic Approach to Evaluating Screening Programs 353
Learning Objectives 353
Natural History of Disease 354
Pattern of Disease Progression 357
Methodologic Issues 358
Selection Biases 358
Referral Bias (Volunteer Bias) 358
Length-Biased Sampling (Prognostic Selection) 359
Lead Time Bias 360
Lead Time and 5-Year Survival 361
Overdiagnosis Bias 363
Study Designs for Evaluating Screening: Nonrandomized and Randomized Studies 363
Nonrandomized Studies 363
Randomized Studies 364
Further Examples of Studies Evaluating Screening 367
Mammography for Women 40 to 49 Years of Age 367
Screening for Cervical Cancer 370
Screening for Neuroblastoma 371
Problems in Assessing the Sensitivity and Specificity of Screening Tests 372
Interpreting Study Results That Show No Benefit of Screening 373
Cost-Benefit Analysis of Screening 373
Conclusion 374
References 374
Review Questions for Chapter 18 375
19 Epidemiology and Public Policy 377
Learning Objectives 377
Epidemiology and Prevention 377
Population Approaches Versus High-Risk Approaches to Prevention 380
Epidemiology and Clinical Medicine: Hormone Replacement Therapy in Postmenopausal Women 382
Risk Assessment 384
Assessment of Exposure 385
Meta-Analysis 387
Publication Bias 390
Epidemiology in the Courts 390
Sources and Impact of Uncertainty 391
Policy Issues Regarding Risk: What Should the Objectives Be? 393
Conclusion 394
References 394
20 Ethical and Professional Issues in Epidemiology 395
Learning Objectives 395
Ethical Issues in Epidemiology 396
Investigators’ Obligations to Study Subjects 397
Protecting Privacy and Confidentiality 399
Access to Data 401
Race and Ethnicity in Epidemiologic Studies 402
Conflict of Interest 403
Interpreting Findings 404
Conclusion 407
References 407
Answers to Review Questions 409
Chapter 1 409
Chapter 2 409
Chapter 3 409
Chapter 4 409
Chapter 5 409
Chapter 6 409
Chapter 7 409
Chapter 8 409
Chapter 9 409
Chapters 10 and 11 409
Chapter 12 409
Chapter 13 410
Chapter 14 410
Chapter 15 410
Chapter 16 410
Chapter 17 410
Chapter 18 410
Chapters 19 and 20 410
Index 411
A 411
B 411
C 411
D 413
E 414
F 414
G 414
H 415
I 415
J 416
K 416
L 416
M 416
N 416
O 417
P 417
Q 418
R 418
S 419
T 420
U 420
V 420
W 420
X 420
Y 420
Z 420