Pages that link to "Item:Q1750257"

The following pages link to Estimation of causal effects with multiple treatments: a review and new ideas (Q1750257):

Displaying 30 items.

• Propensity score weighting for causal inference with multiple treatments (Q93141) (← links)
• Polymatching algorithm in observational studies with multiple treatment groups (Q2072399) (← links)
• The causal effect of a timeout at stopping an opposing run in the NBA (Q2170386) (← 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)
• On the estimation accuracy of causal effects using supplementary variables (Q2815595) (← links)
• Estimation and Inference for the Causal Effect of Receiving Treatment on a Multinomial Outcome (Q3623744) (← links)
• Evaluating inverse propensity score weighting in the presence of many treatments. An application to the estimation of the neighbourhood effect (Q5065257) (← 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)
• Weighted χ² tests for multiple group comparisons in observational studies (Q5096676) (← links)
• The Blessings of Multiple Causes (Q5208062) (← links)
• Causal inference for average treatment effects of multiple treatments with non-normally distributed outcome variables (Q5222378) (← links)
• Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level (Q5857122) (← links)
• Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio (Q6055715) (← links)
• Causal inference for multiple treatments using fractional factorial designs (Q6059456) (← links)
• Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies (Q6543882) (← links)
• Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety (Q6618441) (← links)
• Multiple imputation procedures for estimating causal effects with multiple treatments with application to the comparison of healthcare providers (Q6622227) (← links)
• Matching algorithms for causal inference with multiple treatments (Q6624680) (← links)
• An inverse probability weighted regression method that accounts for right-censoring for causal inference with multiple treatments and a binary outcome (Q6626894) (← links)
• A novel approach for propensity score matching and stratification for multiple treatments: application to an electronic health record-derived study (Q6627427) (← links)
• Propensity score stratification methods for continuous treatments (Q6627641) (← 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)
• Matching on poset-based average rank for multiple treatments to compare many unbalanced groups (Q6628192) (← links)
• Using knockoffs for controlled predictive biomarker identification (Q6628231) (← links)
• A compound representation of the multiple treatment propensity score with applications to marginal structural modeling (Q6642255) (← links)