Abstract Details
Activity Number:
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208
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Type:
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Invited
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Date/Time:
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Monday, August 4, 2014 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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Abstract #310848
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Title:
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Challenges and Strategies in Administrative Data Analysis
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Author(s):
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Joan X. Hu and Rhonda J. Rosychuk*+
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Companies:
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Simon Fraser University and University of Alberta
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Keywords:
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Censoring/Truncation ;
Incomplete data ;
Supplementary Information
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Abstract:
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A typical administrative database collects information over time from a target population starting on a calendar date. Scientifically meaningful analyses, however, often use an individual time of the study subjects, the elapsed time since an individual-specific event such as age. Moreover, many situations demand inference on a population larger than the one from which the data are collected. These, together with other practical constraints, result in various types of incomplete data. This talk begins with a description of three administrative databases to introduce challenges inherent in the data analyses. We then consider a uniform framework to bridge several incomplete data structures, and explore usefulness of supplementary information in attempt to improve inference efficiency and robustness and to reduce computational intensity.
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Authors who are presenting talks have a * after their name.
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