Pages that link to "Item:Q901557"
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The following pages link to The specification of the propensity score in multilevel observational studies (Q901557):
Displaying 14 items.
- Optimal multilevel matching using network flows: an application to a summer reading intervention (Q1620991) (← links)
- Causal inference with observational data under cluster-specific non-ignorable assignment mechanism (Q1658137) (← links)
- Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding (Q2141660) (← links)
- Bayesian propensity score analysis for clustered observational data (Q2218636) (← links)
- Augmented weighted estimators dealing with practical positivity violation to causal inferences in a random coefficient model (Q2331175) (← links)
- Bayesian misclassification and propensity score methods for clustered observational studies (Q5036400) (← links)
- Propensity score matching and subclassification in observational studies with multi‐level treatments (Q5355225) (← links)
- Estimating propensity scores using neural networks and traditional methods: a comparative simulation study (Q6061348) (← links)
- Estimating heterogeneous causal effects in observational studies using small area predictors (Q6115534) (← links)
- A doubly robust method to handle missing multilevel outcome data with application to the China health and nutrition survey (Q6622286) (← links)
- Parametric and nonparametric propensity score estimation in multilevel observational studies (Q6626946) (← links)
- Propensity score methods for observational studies with clustered data: a review (Q6628667) (← links)
- A flexible approach for causal inference with multiple treatments and clustered survival outcomes (Q6629347) (← links)
- Flexible propensity score estimation strategies for clustered data in observational studies (Q6629350) (← links)
