Statistical methods in diagnostic medicine:
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York
Wiley
2002
|
| Schriftenreihe: | Wiley series in probability and statistics
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XV, 437 S. graph. Darst. |
| ISBN: | 0471347728 |
Internformat
MARC
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| 245 | 1 | 0 | |a Statistical methods in diagnostic medicine |c Xiao-Hua Zhou ; Nancy A. Obuchowski ; Donna K. McClish |
| 264 | 1 | |a New York |b Wiley |c 2002 | |
| 300 | |a XV, 437 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Wiley series in probability and statistics | |
| 650 | 7 | |a Biociências |2 larpcal | |
| 650 | 7 | |a Bioestatística |2 larpcal | |
| 650 | 7 | |a Estatística aplicada |2 larpcal | |
| 650 | 7 | |a Geneeskunde |2 gtt | |
| 650 | 4 | |a Médecine - Recherche - Méthodes statistiques | |
| 650 | 4 | |a Statistique médicale | |
| 650 | 7 | |a Statistische methoden |2 gtt | |
| 650 | 4 | |a Medizin | |
| 650 | 4 | |a Data Interpretation, Statistical | |
| 650 | 4 | |a Diagnostic Techniques and Procedures | |
| 650 | 4 | |a Medical statistics | |
| 650 | 4 | |a Medicine |x Research |x Statistical methods | |
| 650 | 0 | 7 | |a Medizinische Statistik |0 (DE-588)4127563-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Diagnostik |0 (DE-588)4113303-1 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Diagnostik |0 (DE-588)4113303-1 |D s |
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Datensatz im Suchindex
| _version_ | 1804129910929752064 |
|---|---|
| adam_text | Contents
Preface xiii
Acknowledgments xv
1. Introduction 1
1.1 Why This Book?, 1
1.2 What Is Diagnostic Accuracy?, 3
1.3 Landmarks in Statistical Methods for Diagnostic
Medicine, 4
1.4 Software, 8
1.5 Topics not Covered in This Book, 8
1.6 Summary, 9
I BASIC CONCEPTS AND METHODS
2. Measures of Diagnostic Accuracy 15
2.1 Sensitivity and Specificity, 15
2.2 The Combined Measures of Sensitivity and
Specificity, 22
2.3 The ROC Curve, 24
2.4 The Area Under the ROC Curve, 27
2.5 The Sensitivity at a Fixed FPR, 33
2.6 The Partial Area Under the ROC Curve, 33
2.7 Likelihood Ratios, 35
2.8 Other ROC Curve Indices, 40
2.9 The Localization and Detection of Multiple
Abnormalities, 43
vii
viii contents
2.10 Interpretation of Diagnostic Tests, 43
2.11 Optimal Decision Threshold on the ROC Curve, 48
2.12 Multiple Tests, 50
3. The Design of Diagnostic Accuracy Studies 57
3.1 Determining the Objective of the Study, 59
3.2 Identifying the Target Patient Population, 63
3.3 Selecting a Sampling Plan for Patients, 63
3.3.1 Phase I: Exploratory Studies, 64
3.3.2 Phase II: Challenge Studies, 65
3.3.3 Phase III: Clinical Studies, 66
3.4 Selecting the Gold Standard, 71
3.5 Choosing a Measure of Accuracy, 77
3.6 Identifying the Target Reader Population, 79
3.7 Selecting a Sampling Plan for Readers, 80
3.8 Planning the Data Collection, 84
3.8.1 Format for the Test Results, 84
3.8.2 Data Collection for the Reader Studies, 86
3.8.3 Reader Training, 88
3.9 Planning the Data Analyses, 89
3.9.1 Statistical Hypotheses, 89
3.9.2 Reporting the Test Results, 91
3.10 Determining the Sample Size, 94
4. Estimation and Hypothesis Testing in a Single Sample 100
4.1 Binary Scale Data, 101
4.1.1 Sensitivity and Specificity, 101
4.1.2 The Sensitivity and Specificity of Clustered
Binary Data, 104
4.1.3 The Likelihood Ratio (LR), 106
4.1.4 The Odds Ratio, 109
4.2 Ordinal Scale Data, 110
4.2.1 The Empirical ROC Curve, 111
4.2.2 Fitting a Smooth Curve (Parametric
Model), 112
4.2.3 Estimation of Sensitivity at a Particular
FPR, 118
4.2.4 The Area and Partial Area Under the ROC
Curve (Parametric Model), 121
4.2.5 The Area Under the Curve (Nonparametric
Method), 126
CONTENTS ix
4.2.6 Nonparametric Analysis of Clustered Data, 131
4.2.7 The Degenerate Data, 133
4.2.8 Choosing Between Parametric and
Nonparametric Methods, 136
4.3 Continuous Scale Data, 137
4.3.1 The Empirical ROC Curve, 139
4.3.2 Fitting a Smooth ROC Curve (Parametric and
Nonparametric Methods), 139
4.3.3 Area Under the ROC Curve (Parametric
and Nonparametric), 145
4.3.4 Fixed FPR—The Sensitivity and Decision
Threshold, 146
4.3.5 Choosing the Optimal Operating Point, 150
4.3.6 Choosing Between Parametric and
Nonparametric Techniques, 153
4.4 Hypothesis Testing About the ROC Area, 153
5. Comparing the Accuracy of Two Diagnostic Tests 165
5.1 Binary Scale Data, 166
5.1.1 Sensitivity and Specificity, 166
5.1.2 Sensitivity and Specificity of Clustered Binary
Data, 169
5.2 Ordinal and Continuous Scale Data, 171
5.2.1 Determining the Equality of Two ROC
Curves, 172
5.2.2 Comparing ROC Curves at a Particular
Point, 176
5.2.3 Determining the Range of FPR for Which TPR
Differ, 178
5.2.4 A Comparison of the Area or Partial
Area, 180
5.3 Tests of Equivalence, 188
6. Sample Size Calculation 195
6.1 The Sample Size for Accuracy Studies of a Single
Test, 196
6.1.1 Sensitivity and Specificity, 196
6.1.2 The Area Under the ROC Curve, 198
6.1.3 The Sensitivity at a Fixed FPR, 201
6.1.4 The Partial Area Under the ROC Curve, 204
6.2 The Sample Size for the Accuracy of Two Tests, 207
6.2.1 Sensitivity and Specificity, 207
X CONTENTS
6.2.2 The Area Under the ROC Curve, 209
6.2.3 The Sensitivity at a Fixed FPR, 212
6.2.4 The Partial Area Under the ROC Curve, 213
6.3 The Sample Size for Equivalent Studies of Two
Tests, 216
6.4 The Sample Size for Determining a Suitable Cutoff
Value, 218
7. Issues in Meta Analysis for Diagnostic Tests 222
7.1 Objectives, 223
7.2 Retrieval of the Literature, 223
7.3 Inclusion Exclusion Criteria, 227
7.4 Extracting Information From the Literature, 229
7.5 Statistical Analysis, 231
7.6 Public Presentation, 235
II ADVANCED METHODS
8. Regression Analysis for Independent ROC Data 243
8.1 Four Clinical Studies, 244
8.1.1 Surgical Lesion in a Carotid Vessel
Example, 244
8.1.2 Pancreatic Cancer Example, 244
8.1.3 Adult Obesity Example, 245
8.1.4 Staging of Prostate Cancer Example, 245
8.2 Regression Models for Continuous Scale Tests, 246
8.2.1 Indirect Regression Models for Smooth ROC
Curves, 247
8.2.2 Direct Regression Models for Smooth ROC
Curves, 252
8.2.3 MRA Use for Surgical Lesion Detection
in the Carotid Vessel, 257
8.2.4 Biomarkers for the Detection of Pancreatic
Cancer, 259
8.2.5 Prediction of Adult Obesity by Using Childhood
BMI Measurements, 262
8.3 Regression Models for Ordinal Scale Tests, 263
8.3.1 Indirect Regression Models for Latent Smooth
ROC Curves, 265
8.3.2 Direct Regression Model for Latent Smooth
ROC Curves, 268
CONTENTS XI
8.3.3 Detection of Periprostatic Invasion With
US, 269
9. Analysis of Correlated ROC Data 274
9.1 Studies With Multiple Test Measurements of the Same
Patient, 275
9.1.1 Indirect Regression Models for Ordinal Scale
Tests, 276
9.1.2 Neonatal Examination Example, 280
9.1.3 Direct Regression Models for Continuous Scale
Tests, 283
9.2 Studies With Multiple Readers and Tests, 286
9.2.1 A Mixed Effects ANOVA Model for Summary
Measures of Diagnostic Accuracy, 287
9.2.2 Detection of TAD Example, 290
9.2.3 The Mixed Effects ANOVA Model for
Jackknife Pseudovalues, 291
9.2.4 Neonatal Examination Example, 294
9.2.5 A Bootstrap Method, 295
9.3 Sample Size Calculation for Multireader Studies, 298
10. Methods for Correcting Verification Bias 307
10.1 A Single Binary Scale Test, 308
10.1.1 Correction Methods With the MAR
Assumption, 309
10.1.2 Correction Methods Without the MAR
Assumption, 312
10.1.3 Hepatic Scintigraph Example, 314
10.2 Correlated Binary Scale Tests, 316
10.2.1 An ML Approach Without Covariates, 317
10.2.2 An ML Approach With Covariates, 321
10.2.3 Screening Tests for Dementia Disorder
Example, 324
10.3 A Single Ordinal Scale Test, 326
10.3.1 An ML Approach Without Covariates, 326
10.3.2 Fever of Uncertain Origin Example, 332
10.3.3 An ML Approach With Covariates, 332
10.3.4 Screening Test for Dementia Disorder
Example, 337
10.4 Correlated Ordinal Scale Tests, 339
10.4.1 The Weighted GEE Approach for Latent Smooth
ROC Curves, 340
Xii CONTENTS
10.4.2 A Likelihood Based Approach for ROC
Areas, 342
10.4.3 Use of CT and MRI for Staging Pancreatic
Cancer Example, 346
11. Methods for Correcting Imperfect Standard Bias 359
11.1 One Single Test in a Single Population, 362
11.1.1 Hypothetical and Strongyloides lnfection
Examples, 366
11.2 One Single Test in G Populations, 368
11.2.1 Tuberculosis Example, 370
11.3 Multiple Tests in One Single Population, 371
11.3.1 MLEs Under the CIA, 371
11.3.2 Assessment of Pleural Thickening
Example, 373
11.3.3 ML Approaches Without the CIA, 375
11.3.4 Bioassays for HIV Example, 380
11.4 Multiple Binary Tests in G Populations, 386
11.4.1 ML Approaches Under the CIA, 386
11.4.2 ML Approaches Without the CIA, 388
12. Statistical Methods for Meta Analysis 396
12.1 Sensitivity and Specificity Pairs, 396
12.1.1 One Common SROC Curve, 397
12.1.2 Study Specific SROC Curve, 402
12.1.3 Evaluation of Duplex Ultrasonography, With
and Without Color Guidance, 405
12.2 ROC Curve Areas, 409
12.2.1 Fixed Effects Models, 410
12.2.2 Random Effects Models, 411
12.2.3 Evaluation of the Dexamethasone Suppression
Test, 413
Index 419
|
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| indexdate | 2024-07-09T19:12:39Z |
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| isbn | 0471347728 |
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| spelling | Zhou, Xiao-Hua Verfasser aut Statistical methods in diagnostic medicine Xiao-Hua Zhou ; Nancy A. Obuchowski ; Donna K. McClish New York Wiley 2002 XV, 437 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Wiley series in probability and statistics Biociências larpcal Bioestatística larpcal Estatística aplicada larpcal Geneeskunde gtt Médecine - Recherche - Méthodes statistiques Statistique médicale Statistische methoden gtt Medizin Data Interpretation, Statistical Diagnostic Techniques and Procedures Medical statistics Medicine Research Statistical methods Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf Diagnostik (DE-588)4113303-1 gnd rswk-swf Diagnostik (DE-588)4113303-1 s Medizinische Statistik (DE-588)4127563-9 s DE-604 McClish, Donna K. Verfasser (DE-588)1051481651 aut Obuchowski, Nancy A. Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010263693&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zhou, Xiao-Hua McClish, Donna K. Obuchowski, Nancy A. Statistical methods in diagnostic medicine Biociências larpcal Bioestatística larpcal Estatística aplicada larpcal Geneeskunde gtt Médecine - Recherche - Méthodes statistiques Statistique médicale Statistische methoden gtt Medizin Data Interpretation, Statistical Diagnostic Techniques and Procedures Medical statistics Medicine Research Statistical methods Medizinische Statistik (DE-588)4127563-9 gnd Diagnostik (DE-588)4113303-1 gnd |
| subject_GND | (DE-588)4127563-9 (DE-588)4113303-1 |
| title | Statistical methods in diagnostic medicine |
| title_auth | Statistical methods in diagnostic medicine |
| title_exact_search | Statistical methods in diagnostic medicine |
| title_full | Statistical methods in diagnostic medicine Xiao-Hua Zhou ; Nancy A. Obuchowski ; Donna K. McClish |
| title_fullStr | Statistical methods in diagnostic medicine Xiao-Hua Zhou ; Nancy A. Obuchowski ; Donna K. McClish |
| title_full_unstemmed | Statistical methods in diagnostic medicine Xiao-Hua Zhou ; Nancy A. Obuchowski ; Donna K. McClish |
| title_short | Statistical methods in diagnostic medicine |
| title_sort | statistical methods in diagnostic medicine |
| topic | Biociências larpcal Bioestatística larpcal Estatística aplicada larpcal Geneeskunde gtt Médecine - Recherche - Méthodes statistiques Statistique médicale Statistische methoden gtt Medizin Data Interpretation, Statistical Diagnostic Techniques and Procedures Medical statistics Medicine Research Statistical methods Medizinische Statistik (DE-588)4127563-9 gnd Diagnostik (DE-588)4113303-1 gnd |
| topic_facet | Biociências Bioestatística Estatística aplicada Geneeskunde Médecine - Recherche - Méthodes statistiques Statistique médicale Statistische methoden Medizin Data Interpretation, Statistical Diagnostic Techniques and Procedures Medical statistics Medicine Research Statistical methods Medizinische Statistik Diagnostik |
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