Pages that link to "Item:Q5754784"

The following pages link to Causal Inference With General Treatment Regimes (Q5754784):

Displaying 50 items.

• Using Approximation Algorithms to Build Evidence Factors and Related Designs for Observational Studies (Q139209) (← links)
• Assessing the effect of the amount of financial aids to Piedmont firms using the generalized propensity score (Q257459) (← links)
• Robust inference on average treatment effects with possibly more covariates than observations (Q496134) (← links)
• Balancing scores for simultaneous comparisons of multiple treatments (Q900946) (← links)
• Matching methods for causal inference: a review and a look forward (Q903298) (← links)
• Dimension reduction summaries for balanced contrasts (Q958817) (← links)
• Covariate balancing propensity score for a continuous treatment: application to the efficacy of political advertisements (Q1647599) (← links)
• Multiple comparisons for survival data with propensity score adjustment (Q1663323) (← links)
• Estimation of causal effects with multiple treatments: a review and new ideas (Q1750257) (← links)
• Efficient propensity score regression estimators of multivalued treatment effects for the treated (Q1753057) (← links)
• Joint sufficient dimension reduction for estimating continuous treatment effect functions (Q1795569) (← links)
• Measuring model misspecification: application to propensity score methods with complex survey data (Q1796929) (← links)
• Causal inference: a missing data perspective (Q1799347) (← links)
• Equal percent bias reduction and variance proportionate modifying properties with mean-covariance preserving matching (Q1934474) (← links)
• Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion) (Q2057337) (← links)
• Continuous treatment effect estimation via generative adversarial de-confounding (Q2066652) (← links)
• On the power of conditional independence testing under model-X (Q2106800) (← links)
• Estimation and inference for the counterfactual distribution and quantile functions in continuous treatment models (Q2116357) (← links)
• Entropy balancing for continuous treatments (Q2121828) (← links)
• Covariates distributions balancing for continuous treatment (Q2159817) (← links)
• Multiple mediation analysis for interval-valued data (Q2175660) (← links)
• A causal exposure response function with local adjustment for confounding: estimating health effects of exposure to low levels of ambient fine particulate matter (Q2194470) (← 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)
• Landmark estimation of survival and treatment effects in observational studies (Q2356620) (← links)
• Estimating the causal effects of marketing interventions using propensity score methodology (Q2381782) (← links)
• Generalized propensity scores for multiple continuous treatment variables (Q2444439) (← links)
• A note on the use of kernel functions in weighted estimators (Q2483874) (← links)
• Efficient semiparametric estimation of multi-valued treatment effects under ignorability (Q2630202) (← links)
• Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models (Q2803486) (← links)
• Is Early Smoking a Causal Risk Factor for Later Cognitive Impairment? A 20-year Prospective Study with Time-varying Propensity Score Matching Based on Random Intercept and Slope (Q2821039) (← links)
• A causal model for joint evaluation of placebo and treatment-specific effects in clinical trials (Q2846439) (← links)
• A Distributional Approach for Causal Inference Using Propensity Scores (Q3434221) (← links)
• The role of the propensity score in estimating dose-response functions (Q4520233) (← links)
• Bayesian propensity scores for high‐dimensional causal inference: A comparison of drug‐eluting to bare‐metal coronary stents (Q4584965) (← links)
• Rejoinder: Bayesian Effect Estimation Accounting for Adjustment Uncertainty (Q4649040) (← links)
• Balancing Covariates via Propensity Score Weighting (Q4690966) (← links)
• Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies (Q5066745) (← links)
• Double robust estimator in general treatment regimes based on Covariate-balancing (Q5078254) (← links)
• ROC analysis using covariate balancing propensity scores with an application to biochemical predictors for thyroid cancer (Q5082820) (← links)
• Comparison of various machine learning algorithms for estimating generalized propensity score (Q5107349) (← links)
• Flexible Sensitivity Analysis for Observational Studies Without Observable Implications (Q5146026) (← links)
• The Blessings of Multiple Causes (Q5208062) (← 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)
• Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France (Q5860982) (← links)
• Nonparametric Tests of the Causal Null With Nondiscrete Exposures (Q5881156) (← links)
• The Landscape of Causal Inference: Perspective From Citation Network Analysis (Q5882538) (← links)
• Estimating propensity scores using neural networks and traditional methods: a comparative simulation study (Q6061348) (← links)
• Estimating the optimal timing of surgery from observational data (Q6074528) (← links)