An overview of Ross Prentice's contributions to statistical science.
Ross Prentice's work has had the most profound impact on the theory and practice of statistics. His research interests range from survival analysis, longitudinal data analysis, epidemiologic designs and analysis, to genomic studies. His contributions are so broad and so deep that it would be impossible to provide a comprehensive review in any limited amount of space. In this commentary, I will attempt to give a brief tour of some of his statistical work, focusing on ten of my favorite papers of his. I will describe the main ideas in those papers and their influence on the directions of statistical research and on the designs and analysis of medical studies. I will mention a few stories along the way.
Department of Biostatistics University of North Carolina at Chapel Hill.
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Case-cohort design; Women’s Health Initiative; case-control studies; competing risks; linear rank tests; logistic regression; longitudinal data; marginal likelihood; measurement error; multivariate failure time data; quadratic exponential model; surrogate endpoints; survival analysis