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Advanced Medical Statistics 2nd Edition

Advanced Medical Statistics book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relevant updates and written new ones from scratch.

The new edition has been divided into four sections, including, Statistical Methods in Medicine and Epidemiology, Statistical Methods in Clinical Trials, Statistical Genetics, and General Methods. To reflect the rise of modern statistical genetics as one of the most fertile research areas since the publication of the first edition, the brand new section on Statistical Genetics includes entirely new chapters reflecting the state of the art in the field.Although tightly related, all the book chapters are self-contained and can be read independently. The book chapters intend to provide a convenient launch pad for readers interested in learning a specific topic, applying the related statistical methods in their scientific research and seeking the newest references for in-depth research.

Contents

۱. History of Statistical Thinking in Medicine
۲. Describing Data, Modeling Variation, and Statistical Practice
۳. Covariate-Specific and Covariate-Adjusted Predictive Values of Prognostic Biomarkers with Survival Outcome
۴. Statistical Methods for Personalized Medicine
۵. Statistics Used in Quality Control, Quality Assurance, and Quality Improvement in Radiological Studies
۶. Applications of Statistical Methods in Medical Imaging
۷. Cost-Effectiveness Analysis and Evidence-Based Medicine
۸. Quality of Life: Issues Concerning Assessment and Analysis
۹. Meta-Analysis
۱۰. Statistical Models and Methods in Infectious Diseases
۱۱. Special Models for Sampling Survey
۱۲. The Use of Capture–Recapture Methodology in Epidemiological Surveillance and Ecological Surveys
۱۳. Statistical Methods in the Effective Evaluation of Mass Screening for Diseases
۱۴. Statistics in Biopharmaceutical Research and Development
۱۵. Statistics in Pharmacology and Pre-Clinical Studies
۱۶. Statistics in Toxicology
۱۷. Dose-Response Modeling and Benchmark Doses in Health Risk Assessment
۱۸. Some Fundamental Statistical Issues and Methodologies in Confirmatory Trials
۱۹. Surrogates for Qualitative Evaluation of Treatment Effects
۲۰. Adaptive Trial Design in Clinical Research
۲۱. Statistics in the Research of Traditional Chinese Medicine
۲۲. Sparse Segment Identifications with Applications to DNA Copy Number Variation Analysis
۲۳. Statistical Methods for Design and Analysis of Linkage Studies
۲۴. Transcriptome Analysis Using Next-Generation Sequencing
۲۵. Genetic Structure of Human Population
۲۶. Data Integration Methods in Genome Wide Association Studies
۲۷. Causal Inference
۲۸. Survival Analysis
۲۹. Nonparametric Regression Models for the Analysis of Longitudinal Data
۳۰. Local Modeling: Density Estimation and Nonparametric Regression
۳۱. Statistical Methods for Dependent Data
۳۲. Bayesian Methods
۳۳. Valid Prior-Free Probabilistic Inference and its Applications in Medical Statistics
۳۴. Stochastic Processes and their Applications in Medical Science
۳۵. Interpolation of Missing Values and Adjustment of Moving Holiday Effect in Time Series
۳۶. Tree-based Methods
۳۷. Introduction to Artificial Neural Networks