Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.
Praise for the Third Edition “. . . an easy-to read introduction to survival analysis which covers the major concepts and techniques of the subject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments, Statistical Methods for Survival Data Analysis, Fourth Edition continues to deliver a comprehensive introduction to the most commonly-used methods for analyzing survival data. Authored by a uniquely well-qualified author team, the Fourth Edition is a critically acclaimed guide to statistical methods with applications in clinical trials, epidemiology, areas of business, and the social sciences. The book features many real-world examples to illustrate applications within these various fields, although special consideration is given to the study of survival data in biomedical sciences. Emphasizing the latest research and providing the most up-to-date information regarding software applications in the field, Statistical Methods for Survival Data Analysis, Fourth Edition also includes: Marginal and random effect models for analyzing correlated censored or uncensored data Multiple types of two-sample and K-sample comparison analysis Updated treatment of parametric methods for regression model fitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of the presented material Statistical Methods for Survival Data Analysis is an ideal text for upper-undergraduate and graduate-level courses on survival data analysis. The book is also an excellent resource for biomedical investigators, statisticians, and epidemiologists, as well as researchers in every field in which the analysis of survival data plays a role.
Networking the Russian Diaspora is a fascinating and timely study of interwar Shanghai. Aside from the vacated Orthodox Church in the former French Concession where most Russian émigrés resided, Shanghai today displays few signs of the bustling settlement of those years. Russian musicians established the first opera company in China, as well as choirs, bands, and ensembles, to play for their own and other communities. Russian musicians were the core of Shanghai’s lauded Municipal Orchestra and taught at China’s first conservatory. Two Russian émigré composers in particular—Alexander Tcherepnin and Aaron Avshalomov—experimented with incorporating Chinese elements into their compositions as harbingers of intercultural music that has become a well-recognized trend in composition since the late twentieth century. The Russian musical scene in Shanghai was the embodiment of musical cosmopolitanism, anticipating the hybrid nature of twenty-first-century music arising from cultural contacts through migration, globalization, and technological advancement. As a pioneering study of the Russian community, Networking the Russian Diaspora examines its musical activities and influence in Shanghai. While the focus of the book is on music, it also gives insight into the social dynamics between Russians and other Europeans on the one hand, and with the Chinese on the other. The volume, coauthored by Chinese music specialists, makes a significant contribution to studies of diaspora, cultural identity, and migration by casting light on a little-studied area of Sino-Russian cultural relations and Russian influence in modern China. The discoveries stretch the boundaries of music studies by addressing the relational aspects of Western music: how it has articulated national and cultural identities but also served to connect people of different origins and cultural backgrounds.
A pioneering political-scientific history. . . . Lucidly composed, meticulously documented, and handsomely presented. The Annals A fascinating and compelling story of the beginnings of the Chinese nuclear weapon program. Arms Control Today
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