[ABE-L] Fwd: Seminários PPGEEA

[Clarice Garcia Borges Demetrio]

Os que tiverem interesse poderão solicitar o link


---------- Forwarded message ---------
From: Fábio Prataviera <fabio_prataviera em usp.br>
Date: Mon, Nov 3, 2025 at 1:56 PM
Subject: Seminários PPGEEA
To:


*Prezados**(as)**, bom dia!*

Dando continuidade à programação de seminários do PPGEEA, nesta semana
teremos a apresentação do Professor *Geert Molenberghs*, que será
transmitida* no LAB A*, das *14h *às* 15h,* no dia* 06/11/2025*.

Segue, abaixo, uma breve biografia do palestrante, bem como o título e o
resumo de sua apresentação.


*Breve Biografia*

Geert Molenberghs is professor at the Faculty of Medicine at KU Leuven and
at Hasselt University. He teaches Longitudinal Data Analysis, Statistical
Consulting, and Sampling Theory among other courses. He is chair of the
Leuven Statistics Research Centre (LStat).
Prof. Molenberghs obtained his PhD in Statistics in 1993. The title of his
research project was “A Full Maximum Likelihood Method for the Analysis of
Multivariate Ordered Categorical Data”. His supervisors were Prof.
Rousseeuw and Prof. Lesaffre. In 2004, he was appointed full professor at
Hasselt University. Three years later, he was appointed part-time professor
at KU Leuven.
Throughout the years, prof. Molenberghs has been the (co-)advisor for many
PhD researchers and master students. He has also been a member of many
expert committees and professional societies such as the Royal Statistical
Society (UK), the International Society for Clinical Biostatistics and the
Psychometric Society. Among other boards, he’s an Advisory Board Member of
Biostatistics and the Executive Editor of Biometrics. Lastly, prof.
Molenberghs is a consultant for many partners in diverse fields including
Pfizer, the Universiteit Antwerpen, and Ziekenhuis Oost Limburg.
*Título*
*The statistical evaluation of surrogate endpoints in clinical trials – and
beyond *

*Resumo*
Both humanitarian and commercial considerations have spurred intensive
search for methods to reduce the time and cost required to develop new
therapies. The identification and use of surrogate endpoints, i.e. measures
that can replace or supplement other endpoints in evaluations of
experimental treatments or interventions, is a general strategy that has
stimulated much enthusiasm. Surrogate endpoints are useful when they can be
measured earlier, more conveniently, or more frequently than the
"true" endpoints of primary interest. Regulatory agencies around
the globe, particularly in the United States, Europe, and Japan,
are introducing provisions and policies relating to the use of surrogate
endpoints in registration studies. But how can one establish the adequacy
of a surrogate, in the sense that treatment effectiveness on the surrogate
will accurately predict treatment effect on the intended, and more
important, true outcome? What kind of evidence is needed, and what
statistical methods portray that evidence most appropriately? The
definition of validity, as well as formal sets of criteria, have been
proposed, including use of the proportion explained, jointly the
within-treatment partial association of true and surrogate responses, and
the treatment effect on the surrogate relative to that on the true outcome.
In a multi-centre setting, these quantities can be generalized
to individual-level and trial-level measures of surrogacy. Consequently, a
meta-analytic framework studying surrogacy at both the trial and
individual-patient levels has been proposed. A number of variations of
this theme have been developed, depending on the type of endpoint for the
true and surrogate endpoint and on the focus of the evaluation exercise.
Recent developments have been based on information theory,
principal stratification, and causal inference. The field of surrogate
marker evaluation, in turn, has sparked a number of developments towards
efficient estimation in complex hierarchical models.

*Contamos com a participação de todos! *

Abraço

Atenciosamente,
Fábio Prataviera
Universidade de São Paulo
Escola Superior de Agricultura "Luiz de Queiroz"
Departamento de Ciências Exatas
Telefone: +55 (19) 3447-8905
ORCID: https://orcid.org/0000-0001-8190-1086
CV: http://lattes.cnpq.br/3225385085167748
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20251103/d2c17f74/attachment-0001.htm>