With an increase in data availability, researchers have been challenged to account for diverse error sources in model-based estimation methods. Without properly accounting for measurement error, analyses may lead to biased estimates. Motivated by economic and environmental problems, this session consists of four presentations on recent advances and applications in model-based estimation using covariates measured with error. The four speakers are: Emily Berg, associate professor in the Department of Statistics at Iowa State University; Mahmoud Torabi, professor of biostatistics in the Department of Community Health Sciences at University of Manitoba; Andreea Erciulescu, senior statistician at Westat; Jan Pablo Burgard, lecturer at Trier University in Trier, Germany.

With an increase in data availability, researchers have been challenged to account for diverse error sources in model-based estimation methods. Without properly accounting for measurement error, analyses may lead to biased estimates. Motivated by economic and environmental problems, this session consists of four presentations on recent advances and applications in model-based estimation using covariates measured with error.

Organiser: Dr Andreea Luisa Erciulescu
Chair: Jean Opsomer
Speaker: Emily Berg
Speaker: Prof. Mahmoud Torabi
Speaker: Andreea Erciulescu
Speaker: Jan Pablo Burgard