[ABE-L] Fwd: CIRS/SWB Webinar on Missing Data September 20th

[Kelly Cristina]

Caros colegas,

Segue abaixo divulgação de Webinar no dia 20 de setembro a pedido da
professora Alexandra Schmidt da McGill University.

Obrigada.

---------- Forwarded message ---------
De: Carolina Franco (she/her) <franco-carolina em norc.org>
Date: seg., 11 de set. de 2023 às 12:54
Subject: CIRS/SWB Webinar on Missing Data September 20th
To: Carolina Franco (she/her) <franco-carolina em norc.org>


Dear Colleagues,

We are excited to announce our upcoming CIRS/SWB Webinar titled “An
Overview of Some Methods for Statistical Analysis with Missing Data” by
Professor Rod Little, to take place on *September 20th, 2023, 12PM-1:30PM
ET.*



Our webinar series, sponsored jointly by the American Statistical
Association’s Committee on International Relations in Statistics (CIRS) and
by Statistics Without Borders (SWB), provides introductory lectures by
experts on important topics of current interest, and is aimed at an
international audience.



Please  join us by registering
<https://amstat.zoom.us/webinar/register/WN__b98P9UgTkC_ACwlGlVqgw> for
this webinar and *help us spread the word by forwarding this to colleagues
you think might be interested*.  Participation is free but registration is
required.   We have attached a flyer for the event and provide more
information below.   We look forward to seeing you there!



Sincerely,



Carolina Franco and Alex Schmidt, ASA CIRS, and Sloka Iyengar, SWB





*AN OVERVIEW OF SOME METHODS FOR STATISTICAL ANALYSIS WITH MISSING DATA*



*Speaker: Rod Little, University of Michigan*



Missing data are a common problem in statistics; examples include unit and
item nonresponse in surveys, attrition in longitudinal data sets, and
missing data arising from noncompliance to treatments in clinical trials. I
review some approaches to handling the problem. Topics include (a) pros and
cons of common methods, specifically analysis of the complete cases,
nonresponse weighting and extensions,  maximum likelihood, Bayes and
multiple imputation; (b) approaches to missing data when the data are
potentially missing not at random; (c) subsample ignorable likelihood
approaches for regression with missing data, which address particular
missing not at random mechanisms by selectively omitting data; and (d)
causal inference under noncompliance to treatments as a missing data
problem.



*About the presenter:*

Rod Little is Richard D. Remington Distinguished University Professor of
Biostatistics at the University of Michigan, where he also holds
appointments in the Department of Statistics and the Institute for Social
Research. He has over 300 publications, notably on methods for the analysis
of data with missing values and model-based survey inference, and the
application of statistics to diverse scientific areas, including medicine,
demography, economics, psychiatry, aging and the environment. Little is an
elected member of the International Statistical Institute, a Fellow of the
American Statistical Association and the American Academy of Arts and
Sciences, and a member of the National Academy of Medicine. In 2005, Little
was awarded the American Statistical Association’s prestigious Wilks Medal
for research contributions, and he gave the President’s Invited Address at
the Joint Statistical Meetings. He was the COPSS Fisher Lecturer at the
2012 Joint Statistics Meetings.





----------------------------------------------------------------------------------------------------------------------------

*Become a friend of the ASA Committee on International Relations in
Statistics!  Register at **https://form.jotform.com/zzlalo/friends-of-cirs*
<https://form.jotform.com/zzlalo/friends-of-cirs>*.   Friends of the
committee receive occasional emails with information that is deemed of
interest to statisticians and students from around the world, including
webinars, conference funding opportunities, networking events, job
announcements, etc.   We also send occasional news about the committee’s
activities and opportunities to volunteer.  All are welcome!*

*Did you know that the membership fee for individuals from developing
counties was reduced to $10 this year?  Visit the membership website: *
*https://www.amstat.org/membership* <https://www.amstat.org/membership>



Carolina Franco,

Chair, Committee on International Relations in Statistics
<https://community.amstat.org/committeeoninternationalrelationsinstatistics/home>

<https://community.amstat.org/committeeoninternationalrelationsinstatistics/home>








-- 
*Kelly C. M. Gonçalves*
*Professora Associada I*
*Departamento de Métodos Estatísticos*
*Universidade Federal do Rio de Janeiro*

*https://sites.google.com/dme.ufrj.br/kelly/
<https://sites.google.com/dme.ufrj.br/kelly/>*
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20230916/60c876e6/attachment-0001.htm>
-------------- Próxima Parte ----------
Um anexo não-texto foi limpo...
Nome: image001.png
Tipo: image/png
Tamanho: 141487 bytes
Descrição: não disponível
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20230916/60c876e6/attachment-0002.png>
-------------- Próxima Parte ----------
Um anexo não-texto foi limpo...
Nome: image001.png
Tipo: image/png
Tamanho: 141487 bytes
Descrição: não disponível
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20230916/60c876e6/attachment-0003.png>
-------------- Próxima Parte ----------
Um anexo não-texto foi limpo...
Nome: CIRS-Sept20-Webinar.pdf
Tipo: application/pdf
Tamanho: 240223 bytes
Descrição: não disponível
URL: <http://lists.ime.usp.br/pipermail/abe/attachments/20230916/60c876e6/attachment-0001.pdf>