Survival Analysis with Correlated Endpoints Joint Frailty-Copula Mod
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 b
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Takeshi Emura Shigeyuki Matsui Virginie Rondeau
Survival Analysis with Correlated Endpoints Joint FrailtyCopula Models
SpringerBriefs in Statistics JSS Research Series in Statistics
Editors-in-Chief Naoto Kunitomo, Graduate School of Economics, Meiji University, Bunkyo-ku, Tokyo, Japan Akimichi Takemura, The Center for Data Science Education and Research, Shiga University, Bunkyo-ku, Tokyo, Japan Series Editors Genshiro Kitagawa, Meiji Institute for Advanced Study of Mathematical Sciences, Nakano-ku, Tokyo, Japan Tomoyuki Higuchi, The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan Toshimitsu Hamasaki, Office of Biostatistics and Data Mg, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan Shigeyuki Matsui, Graduate School of Medicine, Nagoya University, Nagoya, Aichi, Japan Manabu Iwasaki, School of Data Science, Yokohama City University, Yokohama, Tokyo, Japan Yasuhiro Omori, Graduate School of Economics, The University of Tokyo, Bunkyo-ku, Tokyo, Japan Masafumi Akahira, Institute of Mathematics, University of Tsukuba, Tsukuba, Ibaraki, Japan Takahiro Hoshino, Department of Economics, Keio University, Tokyo, Japan Masanobu Taniguchi, Department of Mathematical Sciences/School, Waseda University/Science & Engineering, Shinjuku-ku, Japan
The current research of statistics in Japan has expanded in several directions in line with recent trends in academic activities in the area of statistics and statistical sciences over the globe. The core of these research activities in statistics in Japan has been the Japan Statistical Society (JSS). This society, the oldest and largest academic organization for statistics in Japan, was founded in 1931 by a handful of pioneer statisticians and economists and now has a history of about 80 years. Many distinguished scholars have been members, including the influential statistician Hirotugu Akaike, who was a past president of JSS, and the notable mathematician Kiyosi Itô, who was an earlier member of the Institute of Statistical Mathematics (ISM), which has been a closely related organization since the establishment of ISM. The society has two academic journals: the Journal of the Japan Statistical Society (English Series) and the Journal of the Japan Statistical Society (Japanese Series). The membership of JSS consists of researchers, teachers, and professional statisticians in many different fields including mathematics, statistics, engineering, medical sciences, government statistics, economics, business, psychology, education, and many other natural, biological, and social sciences. The JSS Series of Statistics aims to publish recent results of current research activities in the areas of statistics and statistical sciences in Japan that otherwise would not be available in English; they are complementary to the two JSS academic journals, both English and Japanese. Because the scope of a research paper in academic journals inevitably has become narrowly focused and condensed in recent years, this series is intended to fill the gap between academic rese
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