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Handbook of Scan Statistics
Scan statistics, one of the most active research areas in applied probability and statistics, has seen a tremendous growth during the last 25 years....
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The 2x2 Matrix Contingency, Confusion and the Metrics of Binary Classification
This book describes, extends, and illustrates the metrics of binary classification through worked examples.
Worked examples based on pragmatic test...
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Sedentary Behaviour Epidemiology
This book addresses the origins, determinants and magnitude of the global problem of sedentary behaviour, along with concise yet in-depth solutions...
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Foundations of Applied Statistical Methods
This book covers methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical...
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Twenty Interviews With Psychometric Society Presidents What’s on the Mind of the Psychometrician?
Twenty Interviews with Psychometric Society Presidents tells the stories of the people who are the driving forces of psychometric research, teaching...
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Understanding Inferential Statistics From A for Significance Test to Z for Confidence Interval
What actually is a p-value for? And what is a significant result? This book answers such questions by providing a compact introduction to inferential...
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Magnetic Resonance Brain Imaging Modelling and Data Analysis Using R
This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain. For the data processing pipelines we rely on...
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Trends and Challenges in Categorical Data Analysis Statistical Modelling and Interpretation
This book provides a selection of modern and sophisticated methodologies for the analysis of large and complex univariate and multivariate...
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Bioinformatic and Statistical Analysis of Microbiome Data From Raw Sequences to Advanced Modeling with QIIME 2 and R
This unique book addresses the bioinformatic and statistical modelling and also the analysis of microbiome data using cutting-edge QIIME 2 and R...
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Bayesian Adaptive Design for Immunotherapy and Targeted Therapy
This book provides a comprehensive review of novel adaptive trial designs for targeted therapies and immunotherapies. This book covers a wide range...
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Bayesian Statistical Modeling with Stan, R, and Python
This book provides a highly practical introduction to Bayesian statistical modeling with Stan, which has become the most popular probabilistic...
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Applied Multivariate Statistics with R
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible...
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Epidemics Models and Data Using R
This book is designed to be a practical study in infectious disease dynamics. It offers an easy-to-follow implementation and analysis of mathematical...
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Modern Biostatistical Methods for Evidence-Based Global Health Research
This book provides an overview of the emerging topics in biostatistical theories and methods through their applications to evidence-based global...
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Eco-Stats: Data Analysis in Ecology From t-tests to Multivariate Abundances
This book introduces ecologists to the wonderful world of modern tools for data analysis, especially multivariate analysis.
For biologists with...
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Principles and Practice of Clinical Trials
This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on...
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Principles and Practice of Clinical Trials
This is a comprehensive major reference work for our SpringerReference program covering clinical trials. Although the core of the Work will focus on...
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Mixture and Hidden Markov Models with R
This book discusses mixture and hidden Markov models for modeling behavioral data. Mixture and hidden Markov models are statistical models which are...
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Services for Aging Persons in China Spatial Variations in Supply and Demand
This volume draws upon one of the first comprehensive studies on the regional variations of services for aging persons in China to provide an...
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Medical Decision Making A Health Economic Primer
This textbook offers a comprehensive analysis of medical decision-making under uncertainty by combining test information theory with expected utility...
