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My research interests cut across several areas of statistics, including survival and event history analysis, modeling, theory and methods for estimation and prediction, and the analysis of incomplete data. I am motivated by scientific and technical issues that arise in medicine, public health, system reliability, the social sciences and other areas.
Many of the specific problems that I consider are related to studies in which longitudinal processes involving events and other outcomes associated with individuals or inanimate units are of interest. For example, humans experience events related to health, education, employment, child-bearing and other processes; hardware or software systems may experience events that disrupt or limit service. Modelling such processes can be challenging. In addition, studies of such processes are generally subject to time and cost constraints which limit the data that can be collected and this creates a need for efficient design and analysis techniques. Papers listed in my curriculum vitae indicate many of the areas that have motivated my research, along with the types of statistical issues that I study.
Many of the specific problems that I consider are related to studies in which longitudinal processes involving events and other outcomes associated with individuals or inanimate units are of interest. For example, humans experience events related to health, education, employment, child-bearing and other processes; hardware or software systems may experience events that disrupt or limit service. Modelling such processes can be challenging. In addition, studies of such processes are generally subject to time and cost constraints which limit the data that can be collected and this creates a need for efficient design and analysis techniques. Papers listed in my curriculum vitae indicate many of the areas that have motivated my research, along with the types of statistical issues that I study.
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Emerging Topics in Modeling Interval-Censored Survival DataICSA Book Series in Statisticspp.195-219, (2022)
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CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUEno. 4 (2022): 1270-1298
STATISTICAL THEORY AND RELATED FIELDSno. 3 (2022): 191-192
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