Song Zhang – författare

This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage. It discusses the advantages and disadvantages of each type of PCT, and provides sample size formulas, sensitivity analyses, and examples for sample size calculation. The generalized estimating equation (GEE) method will be employed to derive sample size formulas for various types of outcomes from the exponential family, including continuous, binary, and count variables. Experimental designs that have been frequently employed in PCTs will be discussed, including cluster randomized designs, matched-pair cluster randomized design, stratified cluster randomized design, stepped-wedge cluster randomized design, longitudinal cluster randomized design, and crossover cluster randomized design. It demonstrates that the GEE approach is flexible to accommodate pragmatic issues such as hierarchical correlation structures, different missing data patterns, randomly varying cluster sizes, etc. It has been reported that the GEE approach leads to under-estimated variance with limited numbers of clusters. The remedy for this limitation is investigated for the design of PCTs. This book can assist practitioners in the design of PCTs by providing a description of the advantages and disadvantages of various PCTs and sample size formulas that address various pragmatic issues, facilitating the proper implementation of PCTs to improve health care. It can also serve as a textbook for biostatistics students at the graduate level to enhance their knowledge or skill in clinical trial design.

Key Features:

This book begins with an introduction of pragmatic cluster randomized trials (PCTs) and reviews various pragmatic issues that need to be addressed by statisticians at the design stage. It discusses the advantages and disadvantages of each type of PCT, and provides sample size formulas, sensitivity analyses, and examples for sample size calculation. The generalized estimating equation (GEE) method will be employed to derive sample size formulas for various types of outcomes from the exponential family, including continuous, binary, and count variables. Experimental designs that have been frequently employed in PCTs will be discussed, including cluster randomized designs, matched-pair cluster randomized design, stratified cluster randomized design, stepped-wedge cluster randomized design, longitudinal cluster randomized design, and crossover cluster randomized design. It demonstrates that the GEE approach is flexible to accommodate pragmatic issues such as hierarchical correlation structures, different missing data patterns, randomly varying cluster sizes, etc. It has been reported that the GEE approach leads to under-estimated variance with limited numbers of clusters. The remedy for this limitation is investigated for the design of PCTs. This book can assist practitioners in the design of PCTs by providing a description of the advantages and disadvantages of various PCTs and sample size formulas that address various pragmatic issues, facilitating the proper implementation of PCTs to improve health care. It can also serve as a textbook for biostatistics students at the graduate level to enhance their knowledge or skill in clinical trial design.

Key Features:

This comprehensive guide presents the latest advancements in Digital Fringe Projection (DFP) technology for non-contact 3D shape measurement. Building upon the foundational knowledge established in the first edition, this expanded volume incorporates significant technological developments from nearly three decades of the author''s research.

High-Speed 3D Imaging with Digital Fringe Projection Techniques, Second Edition serves as both a theoretical reference and practical implementation guide, featuring detailed illustrations, mathematical frameworks, and step-by-step procedures for building complete 3D imaging systems from scratch. Readers will gain mastery of cutting-edge DFP techniques through newly introduced topics including advanced phase unwrapping methods, binary pattern optimization, pixel-wise calibration for superior accuracy, and innovative approaches to autofocusing using electrically tunable lenses (ETLs). The second edition also covers practical solutions for auto-exposure control and high dynamic range (HDR) imaging, enabling measurement across challenging surface conditions. Each chapter provides theoretical foundations alongside practical implementation guidance, allowing readers to apply these techniques immediately in their own research or industrial applications.

This book is ideal for researchers, engineers, and graduate students working in optical metrology, computer vision, mechanical engineering, and industrial quality control. Professionals seeking to implement high-speed, high-accuracy 3D measurement systems will find particular value in the practical calibration methods and system optimization techniques.

This comprehensive guide presents the latest advancements in Digital Fringe Projection (DFP) technology for non-contact 3D shape measurement. Building upon the foundational knowledge established in the first edition, this expanded volume incorporates significant technological developments from nearly three decades of the author''s research.

High-Speed 3D Imaging with Digital Fringe Projection Techniques, Second Edition serves as both a theoretical reference and practical implementation guide, featuring detailed illustrations, mathematical frameworks, and step-by-step procedures for building complete 3D imaging systems from scratch. Readers will gain mastery of cutting-edge DFP techniques through newly introduced topics including advanced phase unwrapping methods, binary pattern optimization, pixel-wise calibration for superior accuracy, and innovative approaches to autofocusing using electrically tunable lenses (ETLs). The second edition also covers practical solutions for auto-exposure control and high dynamic range (HDR) imaging, enabling measurement across challenging surface conditions. Each chapter provides theoretical foundations alongside practical implementation guidance, allowing readers to apply these techniques immediately in their own research or industrial applications.

This book is ideal for researchers, engineers, and graduate students working in optical metrology, computer vision, mechanical engineering, and industrial quality control. Professionals seeking to implement high-speed, high-accuracy 3D measurement systems will find particular value in the practical calibration methods and system optimization techniques.

This book systematically covers diagnostic imaging of lung cancers, including epithelial tumors, mesenchymal tumors, and hematolymphoid tumors, with emphasis on relationship between classification, molecular pathology, clinical findings, imaging manifestations and pathological discussion. In each chapter, selective cases and wealthy of typical illustrations are presented for helping readers to have an in-depth understanding of key points in differential diagnosis of different types of lung cancers. It will be an ideal reference for physicians involved in the diagnosis and treatment of lung cancers.