Hong Zhu – författare

This edited book emerges from the observation that the current literatures on migration in China are constrained by a series of shortfalls, including a relative topical homogeneity centred on domestic labour migration; relatively narrowly conceived and institutionalist conceptions of migration and migrants, without adequate attention paid to the identities, agencies and everyday experiences of migrants; and finally a lack of engagement with theoretical models and paradigms in the broad discipline of migration studies. Assembling eight fine-grained research works engaging with a broad variety of migratory trajectories and experiences, this book addresses these shortfalls by: (1) investigating diverse forms of domestic and transnational migration in and to China; (2) problematising, rethinking and innovating well-established analytical tools and categories to move beyond their epistemological fixity and highlight their socially and dynamically constructed nature; and (3) underscoring the centrality of identity, subjectivity and everyday experiences, rather than mechanical causality between institutions and migration outcomes, to theoretical understandings of migration in China. It will be of interest to researchers and advanced students of Sociology, Politics, Human Geography, Social Work and Urban Studies. This book was originally published as a special issue of the Journal of Ethnic and Migration Studies.

This edited book emerges from the observation that the current literatures on migration in China are constrained by a series of shortfalls, including a relative topical homogeneity centred on domestic labour migration; relatively narrowly conceived and institutionalist conceptions of migration and migrants, without adequate attention paid to the identities, agencies and everyday experiences of migrants; and finally a lack of engagement with theoretical models and paradigms in the broad discipline of migration studies. Assembling eight fine-grained research works engaging with a broad variety of migratory trajectories and experiences, this book addresses these shortfalls by: (1) investigating diverse forms of domestic and transnational migration in and to China; (2) problematising, rethinking and innovating well-established analytical tools and categories to move beyond their epistemological fixity and highlight their socially and dynamically constructed nature; and (3) underscoring the centrality of identity, subjectivity and everyday experiences, rather than mechanical causality between institutions and migration outcomes, to theoretical understandings of migration in China. It will be of interest to researchers and advanced students of Sociology, Politics, Human Geography, Social Work and Urban Studies. This book was originally published as a special issue of the Journal of Ethnic and Migration Studies.

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:

Rainfall-induced landslides are common around the world. With global climate change, their frequency is increasing and the consequences are becoming greater. Previous studies assess them mostly from the perspective of a single discipline—correlating landslides with rainstorms, geomorphology and hydrology in order to establish a threshold prediction value for rainfall-induced landslides; analyzing the slope’s stability using a geomechanical approach; or assessing the risk from field records.

Rainfall Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment

Additionally, the authors cover:

Rainfall-induced landslides are common around the world. With global climate change, their frequency is increasing and the consequences are becoming greater. Previous studies assess them mostly from the perspective of a single discipline—correlating landslides with rainstorms, geomorphology and hydrology in order to establish a threshold prediction value for rainfall-induced landslides; analyzing the slope’s stability using a geomechanical approach; or assessing the risk from field records.

Rainfall Induced Soil Slope Failure: Stability Analysis and Probabilistic Assessment

Additionally, the authors cover: