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Explore the statistical concept of empirical likelihood in the context of censored data through this informative 19-minute conference talk. Gain insights into the application of empirical likelihood methods when dealing with incomplete or partially observed data sets. Learn how this approach can be used to make inferences and draw conclusions from censored observations, which are common in fields such as survival analysis and reliability studies. Discover the advantages and challenges of using empirical likelihood techniques for analyzing censored data, and understand how these methods compare to traditional parametric approaches.