8 Result(s)
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Article
Open AccessEvaluating sensitivity to classification uncertainty in latent subgroup effect analyses
Increasing attention is being given to assessing treatment effect heterogeneity among individuals belonging to qualitatively different latent subgroups. Inference routinely proceeds by first partitioning the i...
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Chapter and Conference Paper
Specifying Multilevel Mixture Selection Models in Propensity Score Analysis
Causal inference with observational data is challenging, as the assignment to treatment is often not random and people may have different reasons to receive or to be assigned to the treatment. Moreover, the an...
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Chapter and Conference Paper
Measuring the Heterogeneity of Treatment Effects with Multilevel Observational Data
Multilevel latent class analysis and mixture propensity score models have been implemented to account for heterogeneous selection mechanisms and for proper causal inference with observational multilevel data (...
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Chapter and Conference Paper
Causal Inference with Observational Multilevel Data: Investigating Selection and Outcome Heterogeneity
Causal inference with observational data is challenging, as the assignment to treatment is not random, and people may have different reasons to receive or be assigned to the treatment. The multilevel structure...
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Article
Multilevel Modeling with Correlated Effects
When there exist omitted effects, measurement error, and/or simultaneity in multilevel models, explanatory variables may be correlated with random components, and standard estimation methods do not provide co...
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Article
Omitted Variables in Multilevel Models
Statistical methodology for handling omitted variables is presented in a multilevel modeling framework. In many nonexperimental studies, the analyst may not have access to all requisite variables, and this omi...
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Article
Multilevel Model Prediction
Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This pape...
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Article
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