Pages that link to "Item:Q4520233"

The following pages link to The role of the propensity score in estimating dose-response functions (Q4520233):

Displaying 50 items.

• Estimating Treatment Effects of Longitudinal Designs using Regression Models on Propensity Scores (Q3064273) (← links)
• Informative Cluster Sizes for Subcluster-Level Covariates and Weighted Generalized Estimating Equations (Q3100784) (← links)
• A Distributional Approach for Causal Inference Using Propensity Scores (Q3434221) (← links)
• Impact evaluation of job training programmes: Selection bias in multilevel models (Q3591868) (← links)
• Evaluating the Effect of Education on Earnings: Models, Methods and Results from the National Child Development Survey (Q3592399) (← links)
• The Propensity Score in the Analysis of Therapeutic Studies (Q4353899) (← links)
• A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS (Q4599619) (← links)
• Balancing Covariates via Propensity Score Weighting (Q4690966) (← links)
• Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks (Q4999168) (← links)
• Performance evaluation of propensity score methods for estimating average treatment effects with multi-level treatments (Q5036569) (← 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)
• Treatment Evaluation in the Presence of Sample Selection (Q5080475) (← links)
• Identification and Identification Failure for Treatment Effects Using Structural Systems (Q5080548) (← links)
• ROC analysis using covariate balancing propensity scores with an application to biochemical predictors for thyroid cancer (Q5082820) (← links)
• Weighted χ² tests for multiple group comparisons in observational studies (Q5096676) (← links)
• Comparison of various machine learning algorithms for estimating generalized propensity score (Q5107349) (← links)
• Testing for covariate balance using quantile regression and resampling methods (Q5124967) (← links)
• Enriching Surveys with Supplementary Data and its Application to Studying Wage Regression (Q5177956) (← links)
• The Blessings of Multiple Causes (Q5208062) (← links)
• Comment on: “The Blessings of Multiple Causes” by Yixin Wang and David M. Blei (Q5208065) (← links)
• Using generalized doubly robust estimator to estimate average treatment effects of multiple treatments in observational studies (Q5218884) (← links)
• Comparison of clustering algorithms on generalized propensity score in observational studies: a simulation study (Q5218943) (← links)
• Comparison of adjusted and unadjusted marginal probabilities for estimating binomial parameters in observational studies (Q5219519) (← links)
• Causal inference for average treatment effects of multiple treatments with non-normally distributed outcome variables (Q5222378) (← links)
• Non-parametric adjustment for covariates when estimating a treatment effect (Q5478902) (← links)
• Propensity score modeling strategies for the causal analysis of observational data (Q5701138) (← links)
• Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level (Q5857122) (← links)
• Doubly Robust Estimation of Optimal Dosing Strategies (Q5857146) (← links)
• The Landscape of Causal Inference: Perspective From Citation Network Analysis (Q5882538) (← links)
• Evaluation of the health impacts of the 1990 Clean Air Act Amendments using causal inference and machine learning (Q6044620) (← links)
• Estimating propensity scores using neural networks and traditional methods: a comparative simulation study (Q6061348) (← links)
• Dissecting Chilean surveys: The missing outcomes case (Q6066366) (← links)
• On the impact of missing outcomes in linear regression (Q6066387) (← links)
• Estimating the optimal timing of surgery from observational data (Q6074528) (← links)
• Generalized Propensity Score Approach to Causal Inference with Spatial Interference (Q6079708) (← links)
• A hybrid generalized propensity score approach for observational studies (Q6083007) (← links)
• Identification and estimation of spillover effects in randomized experiments (Q6090542) (← links)
• Propensity Score Weighting Analysis of Survival Outcomes Using Pseudo-Observations (Q6092966) (← links)
• Semiparametric Bayesian doubly robust causal estimation (Q6101696) (← links)
• A new covariate selection strategy for high dimensional data in causal effect estimation with multivariate treatments (Q6113075) (← links)
• A note on semiparametric efficient generalization of causal effects from randomized trials to target populations (Q6170136) (← links)
• Causality in econometrics: choice vs chance (Q6536492) (← links)
• Nonrandom exposure to exogenous shocks (Q6536784) (← links)
• Causal effect random forest of interaction trees for learning individualized treatment regimes with multiple treatments in observational studies (Q6543882) (← links)
• Causal effect estimation for multivariate continuous treatments (Q6563666) (← links)
• Doubly robust estimation of multivariate fractional outcome means with multivalued treatments (Q6585632) (← links)
• Robust causal inference of drug-drug interactions (Q6617452) (← links)
• Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety (Q6618441) (← links)
• Modeling the population mean outcome trajectory in observational studies with varying time to intervention (Q6621337) (← links)