On Model-Selection and Applications of Multilevel Models in Survey and Causal Inference
This thesis includes three parts. The overarching theme is how to analyze multilevel structured datasets, particularly in the areas of survey and causal inference. The first part discusses model selection of hierarchical models, in the context of a national political survey. I found that the commonl...
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| Language: | English |
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2016
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| Online Access: | https://doi.org/10.7916/D8571C4Q |