Bayesian biostatistics and diagnostic medicine:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton [u.a.]
Chapman & Hall/CRC
2007
|
| Series: | Statistics
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | 198 S. graph. Darst. |
| ISBN: | 9781584887676 1584887672 |
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Record in the Search Index
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| adam_text | Table of Contents
Preface ix
Acknowledgments xi
Author xiii
1 Introduction 1
1.1 Introduction 1
1.2 Statistical Methods in Diagnostic Medicine 1
1.3 Preview of Book 2
1.4 Datasets for the Book 4
1.5 Software 4
References 5
2 Diagnostic Medicine 7
2.1 Introduction 7
2.2 Imaging Modalities 7
2.3 Activities in Diagnostic Imaging 11
2.4 Accuracy and Agreement 12
2.5 Developmental Trials for Imaging 14
2.6 Protocol Review and Clinical Trials 15
2.6.1 The Protocol 16
2.6.2 Phase I, II, and III Clinical Designs 16
2.7 The Literature 18
References 18
3 Other Diagnostic Procedures 21
3.1 Introduction 21
3.2 Sentinel Lymph Node Biopsy for Melanoma 21
3.3 Tumor Depth to Diagnose Metastatic Melanoma 22
3.4 Biopsy for Nonsmall Cell Lung Cancer 23
3.5 Coronary Artery Disease 24
References 24
4 Bayesian Statistics 27
4.1 Introduction 27
4.2 Bayes Theorem 28
4.3 Prior Information 29
4.4 Posterior Information 33
4.5 Inference 36
4.5.1 Introduction 36
4.5.2 Estimation 36
4.5.3 Testing Hypotheses 38
4.5.3.1 Introduction 38
4.5.3.2 Binomial Example of Testing 39
4.5.3.3 Comparing Two Binomial Populations 40
4.5.3.4 Sharp Null Hypothesis for the Normal Mean 41
4.6 Sample Size 41
4.6.1 Introduction 41
4.6.2 A One Sample Binomial for Response 42
4.6.3 A One Sample Binomial with Prior Information 44
4.6.4 Comparing Two Binomial Populations 45
4.7 Computing 45
4.7.1 Introduction 45
4.7.2 Direct Methods of Computation 46
4.7.3 Gibbs Sampling 49
4.7.3.1 Introduction 49
4.7.3.2 Common Mean of Normal Populations 50
4.7.3.3 MCMC Sampling with WinBUGS® 53
4.8 Exercises 56
References 57
5 Bayesian Methods for Diagnostic Accuracy 59
5.1 Introduction 59
5.2 Study Design 60
5.2.1 The Protocol 60
5.2.2 Objectives 60
5.2.3 Background 61
5.2.4 Patient and Reader Selection 61
5.2.5 Study Plan 62
5.2.6 Number of Patients 63
5.2.7 Statistical Design and Analysis 63
5.2.8 References 64
5.3 Bayesian Methods for Test Accuracy: Binary and Ordinal Data 65
5.3.1 Introduction 65
5.3.2 Classification Probabilities 65
5.3.3 Predictive Values 68
5.3.4 Diagnostic Likelihood Ratios 69
5.3.5 ROC Curve 69
5.4 Bayesian Methods for Test Accuracy: Quantitative Variables 73
5.4.1 Introduction 73
5.4.2 The Spokane Heart Study 73
5.4.3 ROC Area 74
5.4.4 Definition of the ROC Curve 77
5.4.5 Choice of Optimal Threshold Value 78
5.5 Clustered Data: Detection and Localization 79
5.5.1 Introduction 79
5.5.2 Bayesian ROC Curve for Clustered Information 80
5.5.3 Clustered Data in Mammography 82
5.6 Comparing Accuracy between Modalities 84
5.7 Sample Size Determination 87
5.7.1 Introduction 87
5.7.2 Discrete Diagnostic Scores 88
5.7.2.1 Binary Tests 88
5.7.2.2 Multinomial Outcomes 91
5.7.3 Sample Sizes: Continuous Diagnostic Scores 92
5.7.3.1 One ROC Curve 92
5.7.3.2 Two ROC Curves 95
5.8 Exercises 97
References 99
6 Regression and Test Accuracy 101
6.1 Introduction 101
6.2 Audiology Study 102
6.2.1 Introduction 102
6.2.2 Log Link Function 102
6.2.3 Logistic Link 103
6.2.4 Diagnostic Likelihood Ratio 105
6.3 ROC Area and Patient Covariates 107
6.3.1 Introduction 107
6.3.2 ROC Curve as Response to Therapy 108
6.3.3 Diagnosing Prostate Cancer 110
6.4 Exercises Ill
References Ill
7 Agreement 113
7.1 Introduction 113
7.2 Agreement for Discrete Ratings 114
7.2.1 Binary Scores 114
7.2.2 Other Indices of Agreement 116
7.2.3 A Bayesian Version of McNemar 117
7.2.4 Comparing Two Kappa Parameters 117
7.2.5 Kappa and Stratification 119
7.2.6 Multiple Categories and Two Readers 120
7.2.7 Multiple Categories 122
7.2.8 Agreement and Covariate Information 123
7.3 Agreement for a Continuous Response 126
7.3.1 Introduction 126
7.3.2 Intra Class Correlation Coefficient 127
7.3.2.1 One Way Random Model 127
7.3.2.2 Two Way Random Model 131
7.3.3 Regression and Agreement 132
7.4 Combining Reader Information 134
7.5 Exercises 136
References 139
8 Diagnostic Imaging and Clinical Trials 141
8.1 Introduction 141
8.2 Clinical Trials 142
8.2.1 Introduction 142
8.2.2 Phase I Designs 142
8.2.3 Phase II Trials 143
8.2.4 Phase III Trials 145
8.3 Protocol 145
8.4 Guidelines for Tumor Response 146
8.5 Bayesian Sequential Stopping Rules 148
8.6 Software for Clinical Trials 152
8.6.1 CRM Simulator for Phase I Trials 153
8.6.2 Multc Lean for Phase II Trials 153
8.7 Examples 154
8.7.1 Phase I Trial for Renal Cell Carcinoma 154
8.7.2 An Ideal Phase II Trial 156
8.7.3 Phase II Trial for Advanced Melanoma 158
8.8 Exercises 162
References 163
9 Other Topics 165
9.1 Introduction 165
9.2 Imperfect Diagnostic Test Procedures 166
9.2.1 Extreme Verification Bias 166
9.2.2 Verification Bias 170
9.2.3 Estimating Test Accuracy with No Gold Standard 173
9.3 Test Accuracy and Survival Analysis 178
9.4 ROC Curves with a Non Binary Gold Standard 180
9.5 Periodic Screening in Cancer 182
9.5.1 Inference for Sensitivity and Transition Probability 182
9.5.2 Bayesian Inference for Lead Time 186
9.6 Decision Theory and Diagnostic Accuracy 189
9.7 Exercises 192
References 193
Index 195
|
| adam_txt |
Table of Contents
Preface ix
Acknowledgments xi
Author xiii
1 Introduction 1
1.1 Introduction 1
1.2 Statistical Methods in Diagnostic Medicine 1
1.3 Preview of Book 2
1.4 Datasets for the Book 4
1.5 Software 4
References 5
2 Diagnostic Medicine 7
2.1 Introduction 7
2.2 Imaging Modalities 7
2.3 Activities in Diagnostic Imaging 11
2.4 Accuracy and Agreement 12
2.5 Developmental Trials for Imaging 14
2.6 Protocol Review and Clinical Trials 15
2.6.1 The Protocol 16
2.6.2 Phase I, II, and III Clinical Designs 16
2.7 The Literature 18
References 18
3 Other Diagnostic Procedures 21
3.1 Introduction 21
3.2 Sentinel Lymph Node Biopsy for Melanoma 21
3.3 Tumor Depth to Diagnose Metastatic Melanoma 22
3.4 Biopsy for Nonsmall Cell Lung Cancer 23
3.5 Coronary Artery Disease 24
References 24
4 Bayesian Statistics 27
4.1 Introduction 27
4.2 Bayes Theorem 28
4.3 Prior Information 29
4.4 Posterior Information 33
4.5 Inference 36
4.5.1 Introduction 36
4.5.2 Estimation 36
4.5.3 Testing Hypotheses 38
4.5.3.1 Introduction 38
4.5.3.2 Binomial Example of Testing 39
4.5.3.3 Comparing Two Binomial Populations 40
4.5.3.4 Sharp Null Hypothesis for the Normal Mean 41
4.6 Sample Size 41
4.6.1 Introduction 41
4.6.2 A One Sample Binomial for Response 42
4.6.3 A One Sample Binomial with Prior Information 44
4.6.4 Comparing Two Binomial Populations 45
4.7 Computing 45
4.7.1 Introduction 45
4.7.2 Direct Methods of Computation 46
4.7.3 Gibbs Sampling 49
4.7.3.1 Introduction 49
4.7.3.2 Common Mean of Normal Populations 50
4.7.3.3 MCMC Sampling with WinBUGS® 53
4.8 Exercises 56
References 57
5 Bayesian Methods for Diagnostic Accuracy 59
5.1 Introduction 59
5.2 Study Design 60
5.2.1 The Protocol 60
5.2.2 Objectives 60
5.2.3 Background 61
5.2.4 Patient and Reader Selection 61
5.2.5 Study Plan 62
5.2.6 Number of Patients 63
5.2.7 Statistical Design and Analysis 63
5.2.8 References 64
5.3 Bayesian Methods for Test Accuracy: Binary and Ordinal Data 65
5.3.1 Introduction 65
5.3.2 Classification Probabilities 65
5.3.3 Predictive Values 68
5.3.4 Diagnostic Likelihood Ratios 69
5.3.5 ROC Curve 69
5.4 Bayesian Methods for Test Accuracy: Quantitative Variables 73
5.4.1 Introduction 73
5.4.2 The Spokane Heart Study 73
5.4.3 ROC Area 74
5.4.4 Definition of the ROC Curve 77
5.4.5 Choice of Optimal Threshold Value 78
5.5 Clustered Data: Detection and Localization 79
5.5.1 Introduction 79
5.5.2 Bayesian ROC Curve for Clustered Information 80
5.5.3 Clustered Data in Mammography 82
5.6 Comparing Accuracy between Modalities 84
5.7 Sample Size Determination 87
5.7.1 Introduction 87
5.7.2 Discrete Diagnostic Scores 88
5.7.2.1 Binary Tests 88
5.7.2.2 Multinomial Outcomes 91
5.7.3 Sample Sizes: Continuous Diagnostic Scores 92
5.7.3.1 One ROC Curve 92
5.7.3.2 Two ROC Curves 95
5.8 Exercises 97
References 99
6 Regression and Test Accuracy 101
6.1 Introduction 101
6.2 Audiology Study 102
6.2.1 Introduction 102
6.2.2 Log Link Function 102
6.2.3 Logistic Link 103
6.2.4 Diagnostic Likelihood Ratio 105
6.3 ROC Area and Patient Covariates 107
6.3.1 Introduction 107
6.3.2 ROC Curve as Response to Therapy 108
6.3.3 Diagnosing Prostate Cancer 110
6.4 Exercises Ill
References Ill
7 Agreement 113
7.1 Introduction 113
7.2 Agreement for Discrete Ratings 114
7.2.1 Binary Scores 114
7.2.2 Other Indices of Agreement 116
7.2.3 A Bayesian Version of McNemar 117
7.2.4 Comparing Two Kappa Parameters 117
7.2.5 Kappa and Stratification 119
7.2.6 Multiple Categories and Two Readers 120
7.2.7 Multiple Categories 122
7.2.8 Agreement and Covariate Information 123
7.3 Agreement for a Continuous Response 126
7.3.1 Introduction 126
7.3.2 Intra Class Correlation Coefficient 127
7.3.2.1 One Way Random Model 127
7.3.2.2 Two Way Random Model 131
7.3.3 Regression and Agreement 132
7.4 Combining Reader Information 134
7.5 Exercises 136
References 139
8 Diagnostic Imaging and Clinical Trials 141
8.1 Introduction 141
8.2 Clinical Trials 142
8.2.1 Introduction 142
8.2.2 Phase I Designs 142
8.2.3 Phase II Trials 143
8.2.4 Phase III Trials 145
8.3 Protocol 145
8.4 Guidelines for Tumor Response 146
8.5 Bayesian Sequential Stopping Rules 148
8.6 Software for Clinical Trials 152
8.6.1 CRM Simulator for Phase I Trials 153
8.6.2 Multc Lean for Phase II Trials 153
8.7 Examples 154
8.7.1 Phase I Trial for Renal Cell Carcinoma 154
8.7.2 An Ideal Phase II Trial 156
8.7.3 Phase II Trial for Advanced Melanoma 158
8.8 Exercises 162
References 163
9 Other Topics 165
9.1 Introduction 165
9.2 Imperfect Diagnostic Test Procedures 166
9.2.1 Extreme Verification Bias 166
9.2.2 Verification Bias 170
9.2.3 Estimating Test Accuracy with No Gold Standard 173
9.3 Test Accuracy and Survival Analysis 178
9.4 ROC Curves with a Non Binary Gold Standard 180
9.5 Periodic Screening in Cancer 182
9.5.1 Inference for Sensitivity and Transition Probability 182
9.5.2 Bayesian Inference for Lead Time 186
9.6 Decision Theory and Diagnostic Accuracy 189
9.7 Exercises 192
References 193
Index 195 |
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| illustrated | Illustrated |
| index_date | 2024-07-02T18:26:56Z |
| indexdate | 2024-07-09T21:04:17Z |
| institution | BVB |
| isbn | 9781584887676 1584887672 |
| language | English |
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| spelling | Broemeling, Lyle D. Verfasser aut Bayesian biostatistics and diagnostic medicine Lyle D. Broemeling Boca Raton [u.a.] Chapman & Hall/CRC 2007 198 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Statistics Diagnostic Techniques and Procedures Bayes Theorem Data Interpretation, Statistical Diagnóstico - Modelos matemáticos Medicina - Investigación - Modelos matemáticos Teoría bayesiana de decisiones estadísticas Diagnosis Statistical methods Bayesian statistical decision theory HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015918487&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Broemeling, Lyle D. Bayesian biostatistics and diagnostic medicine Diagnostic Techniques and Procedures Bayes Theorem Data Interpretation, Statistical Diagnóstico - Modelos matemáticos Medicina - Investigación - Modelos matemáticos Teoría bayesiana de decisiones estadísticas Diagnosis Statistical methods Bayesian statistical decision theory |
| title | Bayesian biostatistics and diagnostic medicine |
| title_auth | Bayesian biostatistics and diagnostic medicine |
| title_exact_search | Bayesian biostatistics and diagnostic medicine |
| title_exact_search_txtP | Bayesian biostatistics and diagnostic medicine |
| title_full | Bayesian biostatistics and diagnostic medicine Lyle D. Broemeling |
| title_fullStr | Bayesian biostatistics and diagnostic medicine Lyle D. Broemeling |
| title_full_unstemmed | Bayesian biostatistics and diagnostic medicine Lyle D. Broemeling |
| title_short | Bayesian biostatistics and diagnostic medicine |
| title_sort | bayesian biostatistics and diagnostic medicine |
| topic | Diagnostic Techniques and Procedures Bayes Theorem Data Interpretation, Statistical Diagnóstico - Modelos matemáticos Medicina - Investigación - Modelos matemáticos Teoría bayesiana de decisiones estadísticas Diagnosis Statistical methods Bayesian statistical decision theory |
| topic_facet | Diagnostic Techniques and Procedures Bayes Theorem Data Interpretation, Statistical Diagnóstico - Modelos matemáticos Medicina - Investigación - Modelos matemáticos Teoría bayesiana de decisiones estadísticas Diagnosis Statistical methods Bayesian statistical decision theory |
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