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Peter Song is a Professor of Biostatistics at the Department of Biostatistics, School of Public Health, University of Michigan. He received his PhD in Statistics from the University of British Columbia in 1996. Prior to the appointment at the University of Michigan, he was a faculty member at the Department of Statistics and Actuarial Science, University of Waterloo (2004-2007) and a faculty member at the Department of Mathematics and Statistics, York University, Toronto (1996-2004). Peter Song's research interests include bioinformatics, longitudinal data analysis, missing data problems in clinical trials, statistical genetics, and time series analysis. He is interested in methodological developments related to modelling, statistical inference and applications in biomedical sciences. In particular, Dr. Song's research projects are strongly motivated from real world data analysis. In 2007 he published a monograph "Correlated Data Analysis: Modeling, Analytics and Applications" by Springer.
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论文共 151 篇作者统计合作学者相似作者
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JOURNAL OF MULTIVARIATE ANALYSIS (2024): 105270
STATISTICS IN MEDICINE (2023)
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JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2023)
STATISTICA SINICAno. 3 (2023): 2209-2231
arXiv (Cornell University) (2023)
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ANNALS OF APPLIED STATISTICSno. 3 (2023): 2059-2077
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CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUEno. 1 (2023): 111-133
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