Statistical concepts and applications in clinical medicine:
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton [u.a.]
Chapman & Hall/CRC
2005
|
| Series: | Interdisciplinary statistics series
|
| Subjects: | |
| Online Access: | Statistical concepts and applications in clinical medicine Inhaltsverzeichnis |
| Physical Description: | 339 S. Ill., graph. Darst. |
| ISBN: | 1584882085 |
Staff View
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Contents
1 The Field of Application 1
1.1 The role of the consulting statistician 1
1.2 A challenging problem in differential diagnosis 2
1.3 Identifying the problem (i
1.4 Communication with practitioners 8
1.5 Components of the medical process 9
1.6 Experience 13
1.7 Observation Hi
1.8 Direct measurement 17
1.9 Indirect measurement 18
1.10 Diagnosis 20
1.11 Prognosis 23
1.12 Bibliographic notes 24
1.13 Problems 25
2 Relating the Present Patient to Past Experience 31
2.1 Introduction 31
2.2 The referred patient 32
2.3 Data set of past experience 32
2.4 Incomplete data sets 33
2.5 Measurement problems 33
2.6 Referral and selection 34
2.7 Referral of the present patient R 34
2.8 Selection on the basis of r 35
2.9 Selection independently with respect to r and // 37
2.10 Referral and selection for assay 38
2.11 Referral and selection for genetic counselling 39
2.12 Bibliographic notes 40
2.13 Problems 41
3 A Review of Statistical Methodology 45
3.1 Introduction 45
3.2 Maximal parametric modelling 45
3.3 Standard distributions 46
3.4 Multivariate normal regression model 48
3.5 Recursive formulae 50
3.6 Categorical regression modelling 52
3.6.1 Alternative models 54
3.6.2 The d category model 55
3.7 Lattice testing towards a working model 57
3.8 Testing a single hypothesis 57
3.9 The lattice of hypotheses 59
3.10 Testing within a lattice 59
3.11 Measures of atypicality 62
3.11.1 The multivariate normal model 63
3.11.2 Extrapolation index 63
3.11.3 The logistic regression model 64
3.12 Concordance of data and model 68
3.12.1 Tests of normality 68
3.12.2 Transformations to normality 69
3.12.3 Atypicality 71
3.12.4 Regression diagnostics 71
3.12.5 Influence in terms of Kullback Liebler divergences 72
3.13 Bibliographic notes 72
3.14 Problems 74
4 Further Statistical Methodology 77
4.1 Introduction 77
4.2 Compositional regression analysis 77
4.2.1 The nature of compositional data 77
4.2.2 Covariance structures for compositions 78
4.2.3 Parametric classes of distributions on the simplex 80
4.2.4 A methodology for compositional data analysis 81
4.2.5 Assessment of conditional distributions for the compo¬
sitional regression model 81
4.3 The complete separation problem 81
4.3.1 Construction of a fair prior 82
4.4 Diagnosis with tree structured types 85
4.5 Mixed effects models 88
4.6 Gibbs sampling 89
4.7 Biplots 94
4.7.1 Unconstrained multivariate data 94
4.7.2 Compositional data 98
4.7.3 Coincident vertices and proportionality 101
4.7.4 Subsets of vertices and subcompositional analysis 101
4.7.5 Orthogonal links and subcompositional independence 102
4.7.6 Composition markers 102
4.7.7 Differences between unconstrained and compositional
biplots 104
4.8 Non parametric modelling 105
4.8.1 Introduction 105
4.8.2 Kernel density estimation of an unconditional density
function 105
4.8.3 Computation of atypicality indices 106
4.8.4 Some typical kernels 108
4.8.5 Kernel density estimation of a conditional kernel density
function 108
4.9 Bibliographic notes 109
4.10 Problems 109
5 Experience 113
5.1 Introduction 113
5.2 Single measurement variability 113
5.2.1 Plasma concentration of potassium 111
5.2.2 Urinary excretion rate of pregnenetriol 118
5.3 Multiple measurement variability 122
5.3.1 Cortisol cortisone variability in bilateral hyperplasia 122
5.3.2 Coagulation measurements in genetic counselling in
haemophilia 128
5.3.3 Experience of adenoma in Conn's syndrome 134
5.4 Conditional variability 141
5.4.1 Anti diuretic hormone variability in healthy persons 141
5.4.2 Calcium content of bones 145
5.5 Compositional variability 150
5.5.1 Ulcerative colitis and Crolm's disease 151
5.5.2 Comparison of steroid metabolite concentrations in
normal adults and children 152
5.6 Multivariate binary data 154
5.6.1 Describing experience in Keratoconjunetivitis sicca 154
5.7 Bibliographic notes 155
5.8 Problems 156
6 Observation and Measurement 163
6.1 Introduction 1G3
6.2 The components of an observational problem 163
6.3 An observer error study of a diagnostic ratio 167
6.4 An observer error study of multivariate heart measurements 172
6.5 An observer error study of cell counts 173
6.6 A comparison of large and small X rays for diagnosis 175
6.7 Bacteria counts 180
6.8 Bibliographic notes 181
6.9 Problems 182
7 Indirect Measurement: Assay and Calibration 187
7.1 Introduction 187
7.1.1 Simple linear calibration 188
7.1.2 Non linear calibration 189
7.2 Calibration of methods for aldosterone 190
7.3 Glucose calibration 193
7.4 Calibration of foetal age by crown rump length 195
7.5 Radioimmumoassay of angiotensin II 199
7.6 Calibration of tobramycin 202
7.7 Imprecision 206
7.8 Bibliographic notes 208
7.9 Problems 208
8 Diagnosis 213
8.1 Introduction 213
8.2 Differential diagnosis in Conn's syndrome 214
8.2.1 Logistic form of binary regression analysis 215
8.2.2 Influential cases 217
8.2.3 Normal form of binary regression analysis 219
8.2.4 Diagnostic assessments for new cases 220
8.2.5 Reliability curves for new cases 222
8.2.6 General comments on the effectiveness of the diagnostic
system 222
8.3 Screening of rheumatoid arthritis patients 223
8.3.1 Logistic binary regression model 224
8.3.2 Weighted kernel diagnostic assessments 228
8.3.3 Multivariate binary kernel diagnostic assessments 231
8.3.4 Diagnostic assessments for new cases 231
8.4 Genetic counselling and haemophilia 231
8.4.1 Analysis of the family tree 232
8.4.2 Analysis of the data set of coagulation measurement 233
8.5 Cushing's syndrome 234
8.6 Bibliographic notes 235
8.7 Problems 235
9 Special Aspects of Diagnosis 243
9.1 Introduction 243
9.2 Diagnostic system transfer 244
9.3 Clinic amalgamation 250
9.4 Imprecision in the feature vector 255
9.4.1 Parametric modelling for two types 256
9.5 Missing features: non toxic goitre 261
9.6 Uncertainty of type 264
9.7 Cushing's syndrome 268
9.8 Bibliographic notes 271
9.9 Problems 271
10 Prognosis and Treatment 279
10.1 Introduction 279
10.2 A prognostic study of paediatric head injury 282
10.3 Prognosis and cervical cancer 284
10.4 Kidney function 285
10.4.1 Prediction of NEP dose 286
10.4.2 Incidence of side effects 287
10.5 Cutaneous malignant melanoma 287
10.5.1 Five year survival 288
10.5.2 Survival prospects 290
10.6 Bibliographic notes 292
10.7 Problems 293
11 Assessment 297
11.1 Introduction 297
11.2 Inferential tasks, statements and trials 298
11.2.1 Inferential tasks 298
11.2.2 Previous experience and training sets 299
11.2.3 Inferential trials 299
11.3 Measures of normative comparison 299
11.3.1 Normative model and system 299
11.3.2 Nature of comparisons 300
11.3.3 Measures of performance 300
11.3.4 Measures associated with normal assessments 302
11.4 Sequential inferential tasks 303
11.4.1 Subject assessment profiles for a sequential inferential
task: Doctor's trilemma 303
11.5 Some specific inferential tasks 306
11.5.1 Diagnostic inferential tasks 306
11.5.2 Predictive and prognostic inferential tasks 307
11.5.3 Calibrative inferential tasks 308
11.6 Distributions of inferential statements 310
11.7 Two studies involving inferential tasks 311
11.7.1 Doctor's trilemma 311
11.7.2 Statistician's syndrome 313
11.8 Bibliographic notes 316
11.9 Problems 317
Appendix A Data and Software 321
A.I Aldosterone 321
A.2 Angiotensin II 321
A.3 Auditory dysfunction 321
A.4 Bacteria 322
A.5 Bilateral hyperplasia 322
A.6 Calcium contents 322
A.7 Cells 322
A.8 Cervical cancer 322
A.9 Conn's syndrome 323
A. 10 Crohn's disease 323
A. 11 Crown rump length 323
A. 12 Cushing's syndrome 323
A.13 Cutaneous malignant melanoma 324
A.14 Diagnostic ratio 324
A. 15 Glucose 324
A. 16 Goitre 324
A. 17 Haemophilia 325
A. 18 Hormone 325
A. 19 Keratoconjunctivitis sicca 325
A.20 Nephrology 325
A.21 Potassium 325
A.22 Pregnenetriol 326
A.23 Statistician's syndrome 326
A.24 Tobramycin 326
A.25 X rays 326
References 327
Author index 333
Subject index 335 |
| adam_txt |
Contents
1 The Field of Application 1
1.1 The role of the consulting statistician 1
1.2 A challenging problem in differential diagnosis 2
1.3 Identifying the problem (i
1.4 Communication with practitioners 8
1.5 Components of the medical process 9
1.6 Experience 13
1.7 Observation Hi
1.8 Direct measurement 17
1.9 Indirect measurement 18
1.10 Diagnosis 20
1.11 Prognosis 23
1.12 Bibliographic notes 24
1.13 Problems 25
2 Relating the Present Patient to Past Experience 31
2.1 Introduction 31
2.2 The referred patient 32
2.3 Data set of past experience 32
2.4 Incomplete data sets 33
2.5 Measurement problems 33
2.6 Referral and selection 34
2.7 Referral of the present patient R 34
2.8 Selection on the basis of r 35
2.9 Selection independently with respect to r and // 37
2.10 Referral and selection for assay 38
2.11 Referral and selection for genetic counselling 39
2.12 Bibliographic notes 40
2.13 Problems 41
3 A Review of Statistical Methodology 45
3.1 Introduction 45
3.2 Maximal parametric modelling 45
3.3 Standard distributions 46
3.4 Multivariate normal regression model 48
3.5 Recursive formulae 50
3.6 Categorical regression modelling 52
3.6.1 Alternative models 54
3.6.2 The d category model 55
3.7 Lattice testing towards a working model 57
3.8 Testing a single hypothesis 57
3.9 The lattice of hypotheses 59
3.10 Testing within a lattice 59
3.11 Measures of atypicality 62
3.11.1 The multivariate normal model 63
3.11.2 Extrapolation index 63
3.11.3 The logistic regression model 64
3.12 Concordance of data and model 68
3.12.1 Tests of normality 68
3.12.2 Transformations to normality 69
3.12.3 Atypicality 71
3.12.4 Regression diagnostics 71
3.12.5 Influence in terms of Kullback Liebler divergences 72
3.13 Bibliographic notes 72
3.14 Problems 74
4 Further Statistical Methodology 77
4.1 Introduction 77
4.2 Compositional regression analysis 77
4.2.1 The nature of compositional data 77
4.2.2 Covariance structures for compositions 78
4.2.3 Parametric classes of distributions on the simplex 80
4.2.4 A methodology for compositional data analysis 81
4.2.5 Assessment of conditional distributions for the compo¬
sitional regression model 81
4.3 The complete separation problem 81
4.3.1 Construction of a fair prior 82
4.4 Diagnosis with tree structured types 85
4.5 Mixed effects models 88
4.6 Gibbs sampling 89
4.7 Biplots 94
4.7.1 Unconstrained multivariate data 94
4.7.2 Compositional data 98
4.7.3 Coincident vertices and proportionality 101
4.7.4 Subsets of vertices and subcompositional analysis 101
4.7.5 Orthogonal links and subcompositional independence 102
4.7.6 Composition markers 102
4.7.7 Differences between unconstrained and compositional
biplots 104
4.8 Non parametric modelling 105
4.8.1 Introduction 105
4.8.2 Kernel density estimation of an unconditional density
function 105
4.8.3 Computation of atypicality indices 106
4.8.4 Some typical kernels 108
4.8.5 Kernel density estimation of a conditional kernel density
function 108
4.9 Bibliographic notes 109
4.10 Problems 109
5 Experience 113
5.1 Introduction 113
5.2 Single measurement variability 113
5.2.1 Plasma concentration of potassium 111
5.2.2 Urinary excretion rate of pregnenetriol 118
5.3 Multiple measurement variability 122
5.3.1 Cortisol cortisone variability in bilateral hyperplasia 122
5.3.2 Coagulation measurements in genetic counselling in
haemophilia 128
5.3.3 Experience of adenoma in Conn's syndrome 134
5.4 Conditional variability 141
5.4.1 Anti diuretic hormone variability in healthy persons 141
5.4.2 Calcium content of bones 145
5.5 Compositional variability 150
5.5.1 Ulcerative colitis and Crolm's disease 151
5.5.2 Comparison of steroid metabolite concentrations in
normal adults and children 152
5.6 Multivariate binary data 154
5.6.1 Describing experience in Keratoconjunetivitis sicca 154
5.7 Bibliographic notes 155
5.8 Problems 156
6 Observation and Measurement 163
6.1 Introduction 1G3
6.2 The components of an observational problem 163
6.3 An observer error study of a diagnostic ratio 167
6.4 An observer error study of multivariate heart measurements 172
6.5 An observer error study of cell counts 173
6.6 A comparison of large and small X rays for diagnosis 175
6.7 Bacteria counts 180
6.8 Bibliographic notes 181
6.9 Problems 182
7 Indirect Measurement: Assay and Calibration 187
7.1 Introduction 187
7.1.1 Simple linear calibration 188
7.1.2 Non linear calibration 189
7.2 Calibration of methods for aldosterone 190
7.3 Glucose calibration 193
7.4 Calibration of foetal age by crown rump length 195
7.5 Radioimmumoassay of angiotensin II 199
7.6 Calibration of tobramycin 202
7.7 Imprecision 206
7.8 Bibliographic notes 208
7.9 Problems 208
8 Diagnosis 213
8.1 Introduction 213
8.2 Differential diagnosis in Conn's syndrome 214
8.2.1 Logistic form of binary regression analysis 215
8.2.2 Influential cases 217
8.2.3 Normal form of binary regression analysis 219
8.2.4 Diagnostic assessments for new cases 220
8.2.5 Reliability curves for new cases 222
8.2.6 General comments on the effectiveness of the diagnostic
system 222
8.3 Screening of rheumatoid arthritis patients 223
8.3.1 Logistic binary regression model 224
8.3.2 Weighted kernel diagnostic assessments 228
8.3.3 Multivariate binary kernel diagnostic assessments 231
8.3.4 Diagnostic assessments for new cases 231
8.4 Genetic counselling and haemophilia 231
8.4.1 Analysis of the family tree 232
8.4.2 Analysis of the data set of coagulation measurement 233
8.5 Cushing's syndrome 234
8.6 Bibliographic notes 235
8.7 Problems 235
9 Special Aspects of Diagnosis 243
9.1 Introduction 243
9.2 Diagnostic system transfer 244
9.3 Clinic amalgamation 250
9.4 Imprecision in the feature vector 255
9.4.1 Parametric modelling for two types 256
9.5 Missing features: non toxic goitre 261
9.6 Uncertainty of type 264
9.7 Cushing's syndrome 268
9.8 Bibliographic notes 271
9.9 Problems 271
10 Prognosis and Treatment 279
10.1 Introduction 279
10.2 A prognostic study of paediatric head injury 282
10.3 Prognosis and cervical cancer 284
10.4 Kidney function 285
10.4.1 Prediction of NEP dose 286
10.4.2 Incidence of side effects 287
10.5 Cutaneous malignant melanoma 287
10.5.1 Five year survival 288
10.5.2 Survival prospects 290
10.6 Bibliographic notes 292
10.7 Problems 293
11 Assessment 297
11.1 Introduction 297
11.2 Inferential tasks, statements and trials 298
11.2.1 Inferential tasks 298
11.2.2 Previous experience and training sets 299
11.2.3 Inferential trials 299
11.3 Measures of normative comparison 299
11.3.1 Normative model and system 299
11.3.2 Nature of comparisons 300
11.3.3 Measures of performance 300
11.3.4 Measures associated with normal assessments 302
11.4 Sequential inferential tasks 303
11.4.1 Subject assessment profiles for a sequential inferential
task: Doctor's trilemma 303
11.5 Some specific inferential tasks 306
11.5.1 Diagnostic inferential tasks 306
11.5.2 Predictive and prognostic inferential tasks 307
11.5.3 Calibrative inferential tasks 308
11.6 Distributions of inferential statements 310
11.7 Two studies involving inferential tasks 311
11.7.1 Doctor's trilemma 311
11.7.2 Statistician's syndrome 313
11.8 Bibliographic notes 316
11.9 Problems 317
Appendix A Data and Software 321
A.I Aldosterone 321
A.2 Angiotensin II 321
A.3 Auditory dysfunction 321
A.4 Bacteria 322
A.5 Bilateral hyperplasia 322
A.6 Calcium contents 322
A.7 Cells 322
A.8 Cervical cancer 322
A.9 Conn's syndrome 323
A. 10 Crohn's disease 323
A. 11 Crown rump length 323
A. 12 Cushing's syndrome 323
A.13 Cutaneous malignant melanoma 324
A.14 Diagnostic ratio 324
A. 15 Glucose 324
A. 16 Goitre 324
A. 17 Haemophilia 325
A. 18 Hormone 325
A. 19 Keratoconjunctivitis sicca 325
A.20 Nephrology 325
A.21 Potassium 325
A.22 Pregnenetriol 326
A.23 Statistician's syndrome 326
A.24 Tobramycin 326
A.25 X rays 326
References 327
Author index 333
Subject index 335 |
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| id | DE-604.BV021554666 |
| illustrated | Illustrated |
| index_date | 2024-07-02T14:32:38Z |
| indexdate | 2024-07-20T07:52:34Z |
| institution | BVB |
| isbn | 1584882085 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014770686 |
| oclc_num | 1068901798 |
| open_access_boolean | |
| owner | DE-578 |
| owner_facet | DE-578 |
| physical | 339 S. Ill., graph. Darst. |
| publishDate | 2005 |
| publishDateSearch | 2005 |
| publishDateSort | 2005 |
| publisher | Chapman & Hall/CRC |
| record_format | marc |
| series2 | Interdisciplinary statistics series |
| spelling | Aitchison, John W. Verfasser aut Statistical concepts and applications in clinical medicine John Aitchison ; Jim W. Kay ; Ian J. Lauder Boca Raton [u.a.] Chapman & Hall/CRC 2005 339 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Interdisciplinary statistics series Biometry methods Models, Statistical Clinical Medicine methods Data Interpretation, Statistical Médecine clinique - Recherche - Méthodologie Statistiques médicales Clinical medicine Research Methodology Medical statistics Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 s DE-604 Kay, Jim W. Verfasser aut Lauder, Ian J. Verfasser aut http://okeanos-www.hbz-nrw.de:80/F?func=service&doc_library=HBZ01&doc_number=012702494&line_number=0001&func_code=VIEW&service_type=MEDIA Statistical concepts and applications in clinical medicine HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014770686&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Aitchison, John W. Kay, Jim W. Lauder, Ian J. Statistical concepts and applications in clinical medicine Biometry methods Models, Statistical Clinical Medicine methods Data Interpretation, Statistical Médecine clinique - Recherche - Méthodologie Statistiques médicales Clinical medicine Research Methodology Medical statistics Medizinische Statistik (DE-588)4127563-9 gnd |
| subject_GND | (DE-588)4127563-9 |
| title | Statistical concepts and applications in clinical medicine |
| title_auth | Statistical concepts and applications in clinical medicine |
| title_exact_search | Statistical concepts and applications in clinical medicine |
| title_exact_search_txtP | Statistical concepts and applications in clinical medicine |
| title_full | Statistical concepts and applications in clinical medicine John Aitchison ; Jim W. Kay ; Ian J. Lauder |
| title_fullStr | Statistical concepts and applications in clinical medicine John Aitchison ; Jim W. Kay ; Ian J. Lauder |
| title_full_unstemmed | Statistical concepts and applications in clinical medicine John Aitchison ; Jim W. Kay ; Ian J. Lauder |
| title_short | Statistical concepts and applications in clinical medicine |
| title_sort | statistical concepts and applications in clinical medicine |
| topic | Biometry methods Models, Statistical Clinical Medicine methods Data Interpretation, Statistical Médecine clinique - Recherche - Méthodologie Statistiques médicales Clinical medicine Research Methodology Medical statistics Medizinische Statistik (DE-588)4127563-9 gnd |
| topic_facet | Biometry methods Models, Statistical Clinical Medicine methods Data Interpretation, Statistical Médecine clinique - Recherche - Méthodologie Statistiques médicales Clinical medicine Research Methodology Medical statistics Medizinische Statistik |
| url | http://okeanos-www.hbz-nrw.de:80/F?func=service&doc_library=HBZ01&doc_number=012702494&line_number=0001&func_code=VIEW&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014770686&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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