CMI Afternoon Seminar Series
|Starts:||15:00 27 Feb 2018|
|Ends:||16:30 27 Feb 2018|
|What is it:||Seminar|
|Organiser:||School of Social Sciences|
|Who is it for:||University staff, Adults, Alumni, Current University students, General public|
|Speaker:||Professor Li-Chun Zhang|
Professor Li-Chun Zhang, University of Southampton
Unless a unique identifier exists for this purpose, linkage of separate datasets will generate errors that can cause bias of the subsequent analysis, if the linked data are treated as if they were truly observed. We discuss several approaches to analysis, from the perspective of secondary analysts, who we assume to neither have full access to the linkage key variables nor the details or tools of the actual linkage procedure, but are only provided with some non-disclosive linkage comparison data about the record linkage precision or how the records compare to each other. First, it is shown that maximum likelihood estimation may be generally biased and inconsistent, under linkage error models of the linked data. Next, using linear regression as the case-in-point, an approach to unbiased regression estimation is considered, which does not require actually linking the separate datasets, but is computationally too demanding for large datasets. Last but not least, simple adjustment methods based on the linked dataset are developed. These extend beyond the existing frequentist methods, which require complete matching between two datasets, and are easily applicable to large datasets such as that arising from a Census data linkage project.
Tea/coffee and cakes from 2.45.
All welcome. No registration necessary.
The Cathie Marsh Institute (CMI) provides a focal point at The University of Manchester for the application of quantitative methods in interdisciplinary social science research in order to generate a world class research environment.
Professor Li-Chun Zhang
Role: Professor of Social Statistics
Organisation: University of Southampton
Travel and Contact Information
CMI Seminar Room, 2.07
Humanities Bridgeford Street