{"id":2792,"date":"2026-07-29T14:40:09","date_gmt":"2026-07-29T17:40:09","guid":{"rendered":"https:\/\/www.ufrgs.br\/ppgest\/?p=2792"},"modified":"2026-07-29T14:40:09","modified_gmt":"2026-07-29T17:40:09","slug":"ciclo-de-seminarios-2026-profa-dra-leila-amorim-ufba","status":"publish","type":"post","link":"https:\/\/www.ufrgs.br\/ppgest\/ciclo-de-seminarios-2026-profa-dra-leila-amorim-ufba\/","title":{"rendered":"Ciclo de Semin\u00e1rios 2026 \u2013 Prof\u00aa. Dr\u00aa. Leila Amorim (UFBA)"},"content":{"rendered":"

Temos o prazer de convidar a todos para o semin\u00e1rio do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Estat\u00edstica da UFRGS (PPGEst-UFRGS) em 2026<\/strong>.<\/p>\n

T\u00edtulo: <\/strong>Extending Causal Mediation Analysis to Categorical Latent Variables.<\/p>\n

Short Bio:<\/strong> Leila Amorim \u00e9 Bacharel em Estat\u00edstica, pela UFBA, e Mestre em Sa\u00fade Comunit\u00e1ria pelo Instituto de Sa\u00fade Coletiva, tamb\u00e9m da UFBA, al\u00e9m de Doutora em Bioestat\u00edstica pela University of North Carolina at Chapel Hill, onde tamb\u00e9m realizou est\u00e1gio p\u00f3s-doutoral. Atualmente, \u00e9 Professora Titular do Departamento de Estat\u00edstica da UFBA e Vice-Coordenadora do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Estat\u00edstica e Ci\u00eancia de Dados. Coordena dois grupos de pesquisa do CNPq, incluindo o LInCa [Laborat\u00f3rio de Infer\u00eancia Causal e Aplica\u00e7\u00f5es], voltado ao desenvolvimento de metodologias estat\u00edsticas em infer\u00eancia causal. \u00c9 membro titular da Academia de Ci\u00eancias da Bahia (ACB), na \u00e1rea de Ci\u00eancias Exatas, Agr\u00e1rias e da Terra. Sua trajet\u00f3ria acad\u00eamica \u00e9 marcada por uma atua\u00e7\u00e3o interdisciplinar em Bioestat\u00edstica, com foco no desenvolvimento, aprimoramento e dissemina\u00e7\u00e3o de metodologias estat\u00edsticas aplicadas \u00e0 sa\u00fade p\u00fablica. Destaca-se tamb\u00e9m pelo compromisso com a forma\u00e7\u00e3o de recursos humanos, atuando de forma integrada no ensino, pesquisa e extens\u00e3o, tanto na gradua\u00e7\u00e3o quanto na p\u00f3s-gradua\u00e7\u00e3o. Entre suas principais contribui\u00e7\u00f5es cient\u00edficas est\u00e3o o desenvolvimento de m\u00e9todos estat\u00edsticos para an\u00e1lise de eventos recorrentes em dados censurados, modelagem com respostas distais, an\u00e1lise de dados com estruturas de depend\u00eancia (dados longitudinais e provenientes de amostragem em conglomerados) e estima\u00e7\u00e3o de efeitos de media\u00e7\u00e3o causal em cen\u00e1rios complexos, incluindo a presen\u00e7a de vari\u00e1veis latentes.<\/p>\n

Resumo: <\/strong>Elucidating the mechanisms and causal pathways underlying associations among variables is fundamental to the advancement of scientific knowledge and the rigorous investigation of complex phenomena. Within the causal mediation framework, the total effect of an intervention on an outcome is typically decomposed into the natural direct effect (NDE) and the natural indirect effect (NIE). While a substantial body of literature addresses mediation analysis, comparatively little attention has been given to settings in which key variables are latent and categorical, as defined through latent class analysis (LCA). In this work, we extend existing methodologies for the estimation of causal mediation effects by explicitly incorporating latent components into the analytical framework. The performance of the proposed approaches is evaluated via simulation studies, encompassing both regression-based models and marginal structural models, under scenarios in which the mediator and\/or the outcome is latent. An empirical application is provided using data from an intervention aimed at promoting healthy behaviors among high school students in Brazil. The proposed methodological developments have broad applicability and may be readily extended to a wide range of substantive research contexts.<\/p>\n

Data: 04\/08\/2026
\nHor\u00e1rio: 13:30<\/strong><\/p>\n

O semin\u00e1rio acontecer\u00e1 na\u00a0modalidade Online<\/strong>\u00a0e poder\u00e1 ser assistido pelo link: https:\/\/mconf.ufrgs.br\/webconf\/ppgest<\/p>\n","protected":false},"excerpt":{"rendered":"

Temos o prazer de convidar a todos para o semin\u00e1rio do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Estat\u00edstica da UFRGS (PPGEst-UFRGS) em 2026. T\u00edtulo: Extending Causal Mediation Analysis to Categorical Latent Variables. Short Bio: Leila Amorim \u00e9 Bacharel em Estat\u00edstica, pela UFBA, e Mestre em Sa\u00fade Comunit\u00e1ria pelo Instituto de Sa\u00fade Coletiva, tamb\u00e9m da UFBA, al\u00e9m de …<\/p>\n

Ciclo de Semin\u00e1rios 2026 \u2013 Prof\u00aa. Dr\u00aa. Leila Amorim (UFBA)<\/span> Read More »<\/a><\/p>\n","protected":false},"author":1,"featured_media":2793,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[13],"tags":[],"_links":{"self":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/2792"}],"collection":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/comments?post=2792"}],"version-history":[{"count":1,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/2792\/revisions"}],"predecessor-version":[{"id":2794,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/2792\/revisions\/2794"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/media\/2793"}],"wp:attachment":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/media?parent=2792"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/categories?post=2792"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/tags?post=2792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}