Program - International Chinese Statistical Association

ICSA 2010 SYMPOSIUM ABSTRACTS
ABSTRACTS BY PRESENTER’S LAST NAME
Presenter: Abowd, John Affiliation: Cornell University
Abstract Title: Measurement Error in Large-scale Administrative Record Statistical Systems
Author(s): John M. Abowd*
Abstract:
Session: M17
Regency B
Monday, June 21
10:20 a.m.–12:10 p.m.
Building frames, preparing summary tabulations, and sourcing some survey information
from administrative data has a long history in statistics. Constructing entire statistical
systems from integrated, multi-source administrative data is a much more recent
phenomenon. Population coverage, source data quality, linkage management, edit
procedures, imputation, and privacy protection all interact in such systems. The paper
provides examples of the importance of each of these sources of potential error in the context
of the U.S. Census Bureau's Longitudinal Employer-Household Dynamics program
infrastructure file system. This longitudinally integrated employer-employee database is the
source for multiple detailed public-use data products (Quarterly Workforce Indicators,
OnTheMap), survey data integration (Survey of Income and Program Participation), and
restricted access studies based on the confidential micro-data.
Presenter: Alosh, Mohamed Affiliation: FDA
Abstract Title: A general approach for testing a prespecifeid subgroup in clinical trials
Author(s): Mohamed Alosh* and Mohammad Huque
Abstract:
Subgroup analyses are commonly used in clinical trials with the objective of learning about
differential treatment effect across subgroups. Due to power consideration among other
Session: W12 factors, clinical trials are seldom considered for establishing an efficacy claim for a subgroup
Regency B in case the trial fails to establish an efficacy claim for the total population. However, through
Wednesday, June 23
8:00 a.m.–9:50 a.m.
proper study design and analysis the clinical trial can be designed to establish efficacy claim
for the total population as well as for the subgroup, thus increasing the chance of a positive
trial. The concern that clinical trials are underpowered for subgroups can be relaxed
somewhat through enrichment of the patient population for a priori identified subgroup and
by using statistical testing strategies which spend the overall Type I error rate more
efficiently than many traditional methods. In this presentation we consider a multiple testing
strategy for the total population and the subgroup with the following features: (i) ensuring
consistency of efficacy findings of the total population and that of the subgroup so that the
results of the study overall are interpretable and (ii) allowing the significance level for testing
the subgroup to adapt to the efficacy findings of the total population in a general form. We
consider application of the proposed methodology to clinical trial data.
Presenter: Andrieu, Christophe Affiliation: University of Bristol
Abstract Title: On the computation of normalizing constants
Author(s): C. Andrieu*, joint with N. Whiteley
Abstract:
The estimation of normalizing constants is central to numerous inference procedure. We
review some techniques, provide novel theoretical results as well as new methods which aim
Session: M26
Cosmopolitan C
Monday, June 21
to achieve optimality in a sense to be made precise during the presentation.
1:30 p.m.–3:20 p.m.
Presenter: Austin, Peter Affiliation: Institute for Clinical Evaluative Sciences
Abstract Title: Optimal estimation of risk differences using propensity-score matching
Author(s): Peter Austin*
Abstract: Propensity-score matching allows one to create a sample of treated and untreated subjects
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