Saman Muthukumarana

Date: | Thursday, March 23, 2017 |
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In many scientific disciplines, it is common to find large number of studies addressing the same research question of interest. Meta-analysis can be used for combining or contrasting the results from these multiple studies. We develop a Bayesian approach for meta-analysis using Dirichlet process. The key aspect of the Dirichlet process in meta-analysis is the ability to assess the evidence of statistical heterogeneity in the underlying effects across studies while relaxing the distributional assumptions. Assuming that the study effects are generated from a Dirichlet process, the study effects parameters have support on a discrete space and enable borrowing of information across studies while facilitating clustering among studies. We also extend the approach for binary data in the presence of excessive zeros and propose a modified unconditional odds ratio which accounts for excessive zeros. Results from the data analyses, simulation studies, and the log-pseudo marginal likelihood (LPML) model selection procedure indicate that the proposed models perform better than conventional alternative methods. Some extensions to network meta-analysis will also be discussed.

Employment

Important Dates

March 31: Last date for Voluntary Withdrawal (VW) from Winter Term and Fall/Winter Term spanned courses.

April 3: Summer Term registration begins

Upcoming Exams

**
STAT 3400
A01
Midterm 2
**

Monday, March 27
at
2:30 p.m.

**
STAT 2400
A01
Midterm 2
**

Wednesday, April 5
at
2:30 p.m.

Upcoming Seminars

Statistics seminar:
**Lei Sun**:
“Testing a vector of parameters with applications to genetic association studies”
—
Thursday, March 30 at 2:45 p.m.,
527 Buller.

Statistics seminar:
**Eugene Huang**:
“Restoration of Monotonicity Respecting in Dynamic Regression”
—
Thursday, April 6 at 2:45 p.m.,
527 Buller.

Data talk:
**Ehsan Khafipour** —
Thursday, April 13 at 2:45 p.m.,
527 Buller.

Statistics seminar:
**Saumen Mandal** —
Thursday, April 20 at 2:45 p.m.,
527 Buller.

Where are they now?

Dankit K. Nassiuma, Ph.D. (1992)

Robert Tate, M.Sc. (1975)