This book introduces readers to advanced statistical methods for analyzing survival data involving correlated endpoints. In particular, it describes statistical methods for applying Cox regression to two correlated endpoints by accounting for dependence between the endpoints with the aid of copulas. The practical advantages of employing copula-based models in medical research are explained on the basis of case studies. In addition, the book focuses on clustered survival data, especially data arising from meta-analysis and multicenter analysis. Consequently, the statistical approaches presented here employ a frailty term for heterogeneity modeling. This brings the joint frailty-copula model, which incorporates a frailty term and a copula, into a statistical model. The book also discusses advanced techniques for dealing with high-dimensional gene expressions and developing personalized dynamic prediction tools under the joint frailty-copula model. To help readers apply the statistical methods to real-world data, the book provides case studies using the authors’ original R software package (freely available in CRAN). The emphasis is on clinical survival data, involving time-to-tumor progression and overall survival, collected on cancer patients. Hence, the book offers an essential reference guide for medical statisticians and provides researchers with advanced, innovative statistical tools. The book also provides a concise introduction to basic multivariate survival models.
The Performative Power of Vocality offers a fresh perspective on voice as a subject of critical inquiry by employing an interdisciplinary and cross-cultural approach. Conventional treatment of voice in theatre and performance studies too often regards it as a subcategory of actor training, associated with the established methods that have shaped voice pedagogy within Western theatre schools, conservatories, and universities. This monograph significantly deviates from these dominant models through its investigation of the non-discursive, material, and affective efficacy of vocality, with a focus on orally transmitted vocal traditions. Drawing from her performance training, research collaborations, and commitment to cultural diversity, Magnat proposes a dialogical approach to vocality. Inclusive of established, current, and emerging research perspectives, this approach sheds light on the role of vocality as a vital source of embodied knowledge, creativity, and well-being grounded in process, practice, and place, as well as a form of social and political agency. An excellent resource for qualitative researchers, artist-scholars, and activists committed to decolonization, cultural revitalization, and social justice, this book opens up new avenues of understanding across Indigenous and Western philosophy, performance studies, musicology, ethnomusicology, sound and voice studies, anthropology, sociology, phenomenology, cognitive science, physics, ecology, and biomedicine. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
This book introduces readers to advanced statistical methods for analyzing survival data involving correlated endpoints. In particular, it describes statistical methods for applying Cox regression to two correlated endpoints by accounting for dependence between the endpoints with the aid of copulas. The practical advantages of employing copula-based models in medical research are explained on the basis of case studies. In addition, the book focuses on clustered survival data, especially data arising from meta-analysis and multicenter analysis. Consequently, the statistical approaches presented here employ a frailty term for heterogeneity modeling. This brings the joint frailty-copula model, which incorporates a frailty term and a copula, into a statistical model. The book also discusses advanced techniques for dealing with high-dimensional gene expressions and developing personalized dynamic prediction tools under the joint frailty-copula model. To help readers apply the statistical methods to real-world data, the book provides case studies using the authors’ original R software package (freely available in CRAN). The emphasis is on clinical survival data, involving time-to-tumor progression and overall survival, collected on cancer patients. Hence, the book offers an essential reference guide for medical statisticians and provides researchers with advanced, innovative statistical tools. The book also provides a concise introduction to basic multivariate survival models.
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