Pages that link to "Item:Q497856"
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The following pages link to Identification of causal effects in linear models: beyond instrumental variables (Q497856):
Displaying 12 items.
- Is regression adjustment supported by the Neyman model for causal inference? (Q1036725) (← links)
- Non-causality: The role of the omitted variables (Q1274714) (← links)
- Proxy variables and nonparametric identification of causal effects (Q1672778) (← links)
- Exact variance formula for the estimated mean outcome with external intervention based on the front-door criterion in Gaussian linear structural equation models (Q2048113) (← links)
- Selection and integration of generalized instrumental variables for estimating total effects (Q2062388) (← links)
- Beyond the mean: a flexible framework for studying causal effects using linear models (Q2088915) (← links)
- Variance formulas for estimated mean response and predicted response with external intervention based on the back-door criterion in linear structural equation models (Q2234735) (← links)
- On the estimation accuracy of causal effects using supplementary variables (Q2815595) (← links)
- Identification of causal effects on binary outcomes using structural mean models (Q3303637) (← links)
- Identification of causal effects with latent confounding and classical additive errors in treatment (Q4563259) (← links)
- An Equation for the Identification of Average Causal Effect in Nonlinear Models (Q5067433) (← links)
- (Q5320566) (← links)
