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Survival analysis is a highly active area of research with
applications spanning the physical, engineering, biological, and
social sciences. In addition to statisticians and biostatisticians,
researchers in this area include epidemiologists, reliability
engineers, demographers and economists. The economists survival
analysis by the name of duration analysis and the analysis of
transition data. We attempted to bring together leading
researchers, with a common interest in developing methodology in
survival analysis, at the NATO Advanced Research Workshop. The
research works collected in this volume are based on the
presentations at the Workshop. Analysis of survival experiments is
complicated by issues of censoring, where only partial observation
of an individual's life length is available and left truncation,
where individuals enter the study group if their life lengths
exceed a given threshold time. Application of the theory of
counting processes to survival analysis, as developed by the
Scandinavian School, has allowed for substantial advances in the
procedures for analyzing such experiments. The increased use of
computer intensive solutions to inference problems in survival
analysis~ in both the classical and Bayesian settings, is also
evident throughout the volume. Several areas of research have
received special attention in the volume.
Survival analysis is a highly active area of research with
applications spanning the physical, engineering, biological, and
social sciences. In addition to statisticians and biostatisticians,
researchers in this area include epidemiologists, reliability
engineers, demographers and economists. The economists survival
analysis by the name of duration analysis and the analysis of
transition data. We attempted to bring together leading
researchers, with a common interest in developing methodology in
survival analysis, at the NATO Advanced Research Workshop. The
research works collected in this volume are based on the
presentations at the Workshop. Analysis of survival experiments is
complicated by issues of censoring, where only partial observation
of an individual's life length is available and left truncation,
where individuals enter the study group if their life lengths
exceed a given threshold time. Application of the theory of
counting processes to survival analysis, as developed by the
Scandinavian School, has allowed for substantial advances in the
procedures for analyzing such experiments. The increased use of
computer intensive solutions to inference problems in survival
analysis~ in both the classical and Bayesian settings, is also
evident throughout the volume. Several areas of research have
received special attention in the volume.
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