Measuring Agreement (eBook, PDF)
Models, Methods, and Applications
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Measuring Agreement (eBook, PDF)
Models, Methods, and Applications
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Measuring Agreement Methodology and Applications successfully blends the currently available statistical methodologies for agreement evaluation in a unified, coherent, and lucid manner. This up-to-date and comprehensive book describes the theoretical underpinnings of the methodologies and presents case studies using several real data sets to illustrate the application of the methodologies. A perfect reference for statisticians, biostatisticians, clinical chemists, and biomedical scientists
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 360
- Erscheinungstermin: 17. Oktober 2017
- Englisch
- ISBN-13: 9781118553145
- Artikelnr.: 49896762
- Verlag: John Wiley & Sons
- Seitenzahl: 360
- Erscheinungstermin: 17. Oktober 2017
- Englisch
- ISBN-13: 9781118553145
- Artikelnr.: 49896762
Basic characteristics of a measurement method 1.4 Method comparison studies
1.5 Meaning of agreement 1.6 A measurement error model 1.7 Similarity
versus agreement 1.8 A toy example 1.9 Controversies and our view 1.10
Concepts related to agreement 1.11 Role of confidence intervals and
hypotheses testing 1.12 Common models for paired measurements data 1.13 The
Bland Altman plot 1.14 Common regression approaches 1.15 Inappropriate use
of common tests in method comparison studies 1.16 Key steps in the analysis
of method comparison data 1.17 Chapter summary 1.18 Bibliographic note
Exercises Chapter 2: Common Approaches for Measuring Agreement 2.1 Preview
2.2 Introduction 2.3 Mean squared deviation 2.4 Concordance correlation
coefficient 2.5 A digression: Tolerance and prediction intervals 2.6 Lin's
probability criterion and Bland Altman criterion 2.7 Limits of agreement
2.8 Total deviation index and coverage probability 2.9 Inference on
agreement measures 2.10 Chapter summary 2.11 Bibliographic note Exercises
Chapter 3: A General Approach for Modeling and Inference 3.1 Preview 3.2
Mixed effects models 3.3 A large-sample approach for inference 3.4 Modeling
and analysis of method comparison data 3.5 Chapter summary 3.6
Bibliographic note Exercises Chapter 4: Paired Measurements Data 4.1
Preview 4.2 Modeling of data 4.3 Evaluation of similarity and agreement 4.4
Case studies 4.5 Chapter summary 4.6 Technical details 4.7 Bibliographic
note Exercises Chapter 5: Repeated Measurements Data 5.1 Preview 5.2
Introduction 5.3 Displaying data 5.4 Modeling of data 5.5 Evaluation of
similarity and agreement 5.6 Evaluation of repeatability 5.7 Case studies
5.8 Chapter summary 5.9 Technical details 5.10 Bibliographic note Exercises
Chapter 6: Heteroscedastic Data 6.1 Preview 6.2 Introduction 6.3 Variance
function models 6.4 Repeated measurements data 6.5 Paired measurements data
6.6 Chapter summary 6.7 Technical details 6.8 Bibliographic note Exercises
Chapter 7: Data from Multiple Methods 7.1 Preview 7.2 Introduction 7.3
Displaying data 7.4 Example datasets 7.5 Modeling unreplicated data 7.6
Modeling repeated measurements data 7.7 Model fitting and evaluation 7.8
Evaluation of similarity and agreement 7.9 Evaluation of repeatability 7.10
Case studies 7.11 Chapter summary 7.12 Technical details 7.13 Bibliographic
note Exercises Chapter 8: Data with Covariates 8.1 Preview 8.2 Introduction
8.3 Modeling of data 8.4 Evaluation of similarity, agreement and
repeatability 8.5 Case study 8.6 Chapter summary 8.7 Technical details 8.8
Bibliographic note Exercises Chapter 9: Longitudinal Data 9.1 Preview 9.2
Introduction 9.3 Modeling of data 9.4 Evaluation of similarity and
agreement 9.5 Case study 9.6 Chapter summary 9.7 Technical details 9.8
Bibliographic note Exercises Chapter 10: A Nonparametric Approach 10.1
Preview 10.2 Introduction 10.3 The statistical functional approach 10.4
Evaluation of similarity and agreement 10.5 Case studies 10.6 Chapter
summary 10.7 Technical details 10.8 Bibliographic note Exercises Chapter
11: Sample Size Determination 11.1 Preview 11.2 Introduction 11.3 The
sample size methodology 11.4 Case study 11.5 Chapter summary 11.6
Bibliographic note Exercises Chapter 12: Categorical Data 12.1 Preview 12.2
Introduction 12.3 Experimental setups and examples 12.4 Cohen's kappa
coefficient for dichotomous data 12.5 Kappa type measures for more than two
categories 12.6 Case studies 12.7 Models for exploring agreement 12.8
Discussion 12.9 Chapter summary 12.10 Bibliographic note Exercises
References Dataset List Index
Basic characteristics of a measurement method 1.4 Method comparison studies
1.5 Meaning of agreement 1.6 A measurement error model 1.7 Similarity
versus agreement 1.8 A toy example 1.9 Controversies and our view 1.10
Concepts related to agreement 1.11 Role of confidence intervals and
hypotheses testing 1.12 Common models for paired measurements data 1.13 The
Bland Altman plot 1.14 Common regression approaches 1.15 Inappropriate use
of common tests in method comparison studies 1.16 Key steps in the analysis
of method comparison data 1.17 Chapter summary 1.18 Bibliographic note
Exercises Chapter 2: Common Approaches for Measuring Agreement 2.1 Preview
2.2 Introduction 2.3 Mean squared deviation 2.4 Concordance correlation
coefficient 2.5 A digression: Tolerance and prediction intervals 2.6 Lin's
probability criterion and Bland Altman criterion 2.7 Limits of agreement
2.8 Total deviation index and coverage probability 2.9 Inference on
agreement measures 2.10 Chapter summary 2.11 Bibliographic note Exercises
Chapter 3: A General Approach for Modeling and Inference 3.1 Preview 3.2
Mixed effects models 3.3 A large-sample approach for inference 3.4 Modeling
and analysis of method comparison data 3.5 Chapter summary 3.6
Bibliographic note Exercises Chapter 4: Paired Measurements Data 4.1
Preview 4.2 Modeling of data 4.3 Evaluation of similarity and agreement 4.4
Case studies 4.5 Chapter summary 4.6 Technical details 4.7 Bibliographic
note Exercises Chapter 5: Repeated Measurements Data 5.1 Preview 5.2
Introduction 5.3 Displaying data 5.4 Modeling of data 5.5 Evaluation of
similarity and agreement 5.6 Evaluation of repeatability 5.7 Case studies
5.8 Chapter summary 5.9 Technical details 5.10 Bibliographic note Exercises
Chapter 6: Heteroscedastic Data 6.1 Preview 6.2 Introduction 6.3 Variance
function models 6.4 Repeated measurements data 6.5 Paired measurements data
6.6 Chapter summary 6.7 Technical details 6.8 Bibliographic note Exercises
Chapter 7: Data from Multiple Methods 7.1 Preview 7.2 Introduction 7.3
Displaying data 7.4 Example datasets 7.5 Modeling unreplicated data 7.6
Modeling repeated measurements data 7.7 Model fitting and evaluation 7.8
Evaluation of similarity and agreement 7.9 Evaluation of repeatability 7.10
Case studies 7.11 Chapter summary 7.12 Technical details 7.13 Bibliographic
note Exercises Chapter 8: Data with Covariates 8.1 Preview 8.2 Introduction
8.3 Modeling of data 8.4 Evaluation of similarity, agreement and
repeatability 8.5 Case study 8.6 Chapter summary 8.7 Technical details 8.8
Bibliographic note Exercises Chapter 9: Longitudinal Data 9.1 Preview 9.2
Introduction 9.3 Modeling of data 9.4 Evaluation of similarity and
agreement 9.5 Case study 9.6 Chapter summary 9.7 Technical details 9.8
Bibliographic note Exercises Chapter 10: A Nonparametric Approach 10.1
Preview 10.2 Introduction 10.3 The statistical functional approach 10.4
Evaluation of similarity and agreement 10.5 Case studies 10.6 Chapter
summary 10.7 Technical details 10.8 Bibliographic note Exercises Chapter
11: Sample Size Determination 11.1 Preview 11.2 Introduction 11.3 The
sample size methodology 11.4 Case study 11.5 Chapter summary 11.6
Bibliographic note Exercises Chapter 12: Categorical Data 12.1 Preview 12.2
Introduction 12.3 Experimental setups and examples 12.4 Cohen's kappa
coefficient for dichotomous data 12.5 Kappa type measures for more than two
categories 12.6 Case studies 12.7 Models for exploring agreement 12.8
Discussion 12.9 Chapter summary 12.10 Bibliographic note Exercises
References Dataset List Index