[ABE-L] Seminários PIPGEs

[Michel H. Montoril]

Caros,

Gostaríamos de convidar a todos para o próximo seminário conjunto UFSCar/ICMC-USP, que ocorrerá no dia 11/06, às 14h. Seguem informações abaixo. Devido a problemas de invasões que têm ocorrido em alguns eventos online, o link do evento será divulgado apenas no dia [AQUI <http://www.pipges.ufscar.br/seminarios/11-06-2021-bayesian-inference-for-competing-risks-and-multi-state-survival-models-speaker-carmen-armero-universitat-de-valencia>].

Sintam-se à vontade para divulgar (arquivo em anexo) entre eventuais interessados.

Saudações,
Michel

Scheduled for:
Jun 11, 2021, at 2:00 pm
(GMT-03:00) Brasilia Standard Time - Sao Paulo
 
Streaming:
Google Meet
 
Speaker:
Carmen Armero (Universitat de València)
 
Title:
Bayesian inference for competing risks and multi-state survival models
 
Abstract: 
Survival analysis focus on data that record times from a defined starting point to the occurrence of a particular event or endpoint of interest. Competing risk models are survival models that include more than one event of interest where the occurrence of one event rules out the occurrence of all the others. Multi-state models are more general survival models that account for survival times involved in the pathways associated to the sequential occurrence of many events of interest. We discuss Bayesian analysis of such models in the context of medical research. We begin by working with a basic competing risks model in which the time to a new hip fracture or to death is modelled for patients aged 65 or older who have already had a first hip fracture, then we introduce a competing risks model for taking into account non-ignorable missing data in a longitudinal analysis of chronic kidney disease in children, and conclude with a discussion of the so-called illness and death multi-state models by returning to the hip fracture study.

Bio:
Carmen Armero is Professor of Statistics and Operations Research at the Universitat de València (Spain), andBiomathematics and Statistics Scotland (BioSS) Associate. Her research has always been focused on BayesianInference, first on queueing systems and later on Bayesian hierarchical models in biomedical environments, mainlyin the areas of survival and longitudinal models. She has published papers in prestigious international journalssuch as Statistics in Medicine, Statistical Methods in Medical Research, Queueing Systems, Health Economics,Journal of Computational and Graphical Statistics, Biometrical Journal, among others. She is Director ofthe València Bayesian Research group, VABAR (vabar.es <https://www.google.com/url?q=http://vabar.es&sa=D&source=calendar&ust=1617552097345000&usg=AOvVaw0tfdKD8_nb3_orlp4lzsKp>), of the València-VABAR node of the Biostatnet network(biostatnet.com/en/ <https://www.google.com/url?q=http://biostatnet.com/en/&sa=D&source=calendar&ust=1617552097345000&usg=AOvVaw08T3yonRuxCnplnOV4V5fi>), and of the València International Bayesian Analysis Summer School (VIBASS).

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/* Michel H. Montoril, 
 * Assistant Professor,
 * Department of Statistics,
 * Federal University of São Carlos,
 * São Carlos, SP, 13565-905, Brazil
 */

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