[BIC-announce] Fwd: May 3 seminar Prof. Hervé Abdi (U. Texas at Dallas) - Registration required - sponsored by QLS and the Ludmer Centre

[JB Poline]

Hi,

This might be a little outside neuroimaging but promises to be rather
interesting for those who are doing multivariate analyses (PLS/CCA/ ...)

Cheers
JB

---------- Forwarded message ---------
From: QLS Director <director.qls at mcgill.ca>
Date: Mon, Apr 25, 2022 at 2:35 PM
Subject: May 3 seminar Prof. Hervé Abdi (U. Texas at Dallas) - Registration
required - sponsored by QLS and the Ludmer Centre
To: QLS Supervisors <594-QLSSupervisors at campus.mcgill.ca>, QLS All Students
<QLSstudents at campus.mcgill.ca>
Cc: jbpoline <jbpoline at gmail.com>, Louis Doré-Savard, Dr <
louis.dore-savard at mcgill.ca>, QLS Coordinator <coordinator.qls at mcgill.ca>


hi everyone –

Dr. Hervé Abdi, University of Texas at Dallas, will be visiting Montreal in
person on May 3rd , and giving a seminar in the GrandPré auditorium at the
Montreal Neurological Institute from 12pm – 1pm. Title and abstract are
given below.

In person, there will be refreshments!  The seminar will also be
disseminated virtually – note that *Registration is required for both
formats. *Please forward this to anyone who might be interested.



*Prof Hervé Abdi, University of Texas at Dallas*

*Seminar May 03, 2022, 12pm – 1pm, **Hybrid format*

*Mega-Meta with covSTATIS: How to Perform Multivariate Factor Meta-Analysis*

https://www.eventbrite.ca/e/mega-meta-with-covstatis-how-to-perform-multivariate-factor-meta-analysis-tickets-323307670947

Traditional meta-analysis procedures were developed to integrate and
evaluate multiple studies involving a small number of variables, but
current scientific practices systematically involve multiple variables
often analyzed by multivariate factorial methods such as principal
component analysis and its numerous variations. These methods typically
generate maps that represent observations and variables as points or
vectors in small dimensional spaces: a format that standard meta-analytic
procedure cannot easily handle. Here, in order to meta-analyze a set of
multivariate studies using the same variables (and/or same observations) we
propose to use a multi-table 3-way extension of metric multidimensional
scaling (called diSTATIS or covSTATIS) that can integrate the factorial
information produced by a set of studies. covSTATIS produces two set of
maps: The first set reveals the similarity between the studies and the
second set optimally analyzes the common and specific information of the
variables in the studies. This approach is illustrated with a meta-analysis
of a set of studies using the Survey of Autobiographical Memory (SAM)—a
questionnaire that assesses self-reported remote mnemonic capacities
comprising twenty-six variables organized in four subscales.



*---------------------------------------------------------------------------------------------------------*

*PhD Program in Quantitative Life Sciences, McGill University*

www.mcgill.ca/QLS <http://www.mcgill.ca/qls/>;  Twitter: @QLSMcGill
<http://twitter.com/QLSMcGill>; Facebook: QLS.mcgill
<http://facebook.com/QLS.mcgill>;  LinkedIn:
<https://www.linkedin.com/company/26551710>

Celia Greenwood, PhD: Graduate Program Director;  Professor, McGill
University

*director.qls at mcgill.ca <director.qls at mcgill.ca>*;

Alex DeGuise: Graduate Program Coordinator

coordinator.qls at mcgill.ca

514 398 4826
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