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Maximum likelihood estimation for outcome-dependent samples

Clark, Robert


In outcome-dependent sampling, the continuous or binary outcome variable in a regression model is available in advance to guide selection of a sample on which explanatory variables are then measured. Selection probabilities may either be a smooth function of the outcome variable or be based on a stratification of the outcome. In many cases, only data from the final sample is accessible to the analyst. A maximum likelihood approach for this data configuration is developed here for the first time....[Show more]

CollectionsANU Research Publications
Date published: 2020
Type: Journal article
Source: Australian and New Zealand Journal of Statistics
DOI: 10.1111/anzs.12287


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