Pages that link to "Item:Q5229882"
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The following pages link to Penalized Spline of Propensity Methods for Treatment Comparison (Q5229882):
Displaying 18 items.
- Mitigating unobserved spatial confounding when estimating the effect of supermarket access on cardiovascular disease deaths (Q2078796) (← links)
- Robust regression analysis for clustered interval-censored failure time data (Q2661945) (← links)
- Extensions of the Penalized Spline of Propensity Prediction Method of Imputation (Q3183240) (← links)
- A stable and more efficient doubly robust estimator (Q5066793) (← links)
- Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little (Q5229886) (← links)
- Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” (Q5229887) (← links)
- Discussion on “Spatial+: A novel approach to spatial confounding” by Dupont, Wood, and Augustin (Q6055668) (← links)
- Bayesian causal inference with bipartite record linkage (Q6121985) (← links)
- Robust nonparametric estimation of average treatment effects: a propensity score-based varying coefficient approach (Q6548901) (← links)
- Prior and posterior checking of implicit causal assumptions (Q6589259) (← links)
- Highly robust causal semiparametric U-statistic with applications in biomedical studies (Q6590275) (← links)
- The how and why of Bayesian nonparametric causal inference (Q6601995) (← links)
- Multiple imputation procedures for estimating causal effects with multiple treatments with application to the comparison of healthcare providers (Q6622227) (← links)
- A comparison of parametric propensity methods for causal inference with multiple treatments and a binary outcome (Q6627692) (← links)
- Accounting for selection bias due to death in estimating the effect of wealth shock on cognition for the health and retirement study (Q6627821) (← links)
- A practical introduction to Bayesian estimation of causal effects: parametric and nonparametric approaches (Q6627906) (← links)
- Estimating the optimal timing of surgery by imputing potential outcomes (Q6628226) (← links)
- In Nonparametric and High-Dimensional Models, Bayesian Ignorability is an Informative Prior (Q6651382) (← links)
