Pages that link to "Item:Q5355225"
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The following pages link to Propensity score matching and subclassification in observational studies with multi‐level treatments (Q5355225):
Displaying 25 items.
- Propensity score weighting for causal inference with multiple treatments (Q93141) (← links)
- Practical propensity score matching: a reply to Smith and Todd (Q262740) (← links)
- Efficient propensity score regression estimators of multivalued treatment effects for the treated (Q1753057) (← links)
- Outcome-adjusted balance measure for generalized propensity score model selection (Q2156818) (← links)
- Extending balance assessment for the generalized propensity score under multiple imputation (Q2197496) (← links)
- Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies (Q2242173) (← links)
- Statistical matching and subclassification with a continuous dose: characterization, algorithm, and application to a health outcomes study (Q2686045) (← links)
- Performance evaluation of propensity score methods for estimating average treatment effects with multi-level treatments (Q5036569) (← links)
- Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies (Q5066745) (← links)
- Confounding adjustment methods for multi-level treatment comparisons under lack of positivity and unknown model specification (Q5093035) (← links)
- Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations (Q6092966) (← links)
- Constrained optimization for stratified treatment rules in reducing hospital readmission rates of diabetic patients (Q6112726) (← links)
- A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching (Q6141305) (← links)
- Highly robust causal semiparametric U-statistic with applications in biomedical studies (Q6590275) (← links)
- Propensity score matching for estimating a marginal hazard ratio (Q6615932) (← links)
- Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety (Q6618441) (← links)
- Matching algorithms for causal inference with multiple treatments (Q6624680) (← links)
- The use of prognostic scores for causal inference with general treatment regimes (Q6625618) (← links)
- Estimation of average treatment effects among multiple treatment groups by using an ensemble approach (Q6627174) (← links)
- A novel approach for propensity score matching and stratification for multiple treatments: application to an electronic health record-derived study (Q6627427) (← links)
- Vector-based kernel weighting: a simple estimator for improving precision and bias of average treatment effects in multiple treatment settings (Q6627645) (← links)
- A machine learning compatible method for ordinal propensity score stratification and matching (Q6627666) (← links)
- A comparison of parametric propensity methods for causal inference with multiple treatments and a binary outcome (Q6627692) (← links)
- Using propensity scores to estimate effects of treatment initiation decisions: state of the science (Q6627701) (← links)
- Estimating the optimal timing of surgery by imputing potential outcomes (Q6628226) (← links)