Statistical analysis relies on the availability of data. However, data are not always fully observable. Nowadays, partially-observed data can arise in many applications and bring a lot of challenges to statistical analysis. In this half-day workshop, we focus on recent developments in the statistical inference from partially-observed data, especially on handling incomplete data and causal inference. This workshop will be organised fully online. The event will consist of academic reports by four national and international invited speakers who are leading researchers in the related areas. Following the talks by the keynote speakers, there will be a discussion session, which offers opportunities for attendees to discuss with the speakers and promotes potential collaborations, both nationally and internationally.
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