Pages that link to "Item:Q449850"
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The following pages link to On instrumental variables estimation of causal odds ratios (Q449850):
Displaying 23 items.
- Instrumental variables: an econometrician's perspective (Q252714) (← links)
- Structural nested models and G-estimation: the partially realized promise (Q252829) (← links)
- Estimating structural mean models with multiple instrumental variables using the generalised method of moments (Q254415) (← links)
- Full matching approach to instrumental variables estimation with application to the effect of malaria on stunting (Q288596) (← links)
- A note on the control function approach with an instrumental variable and a binary outcome (Q306808) (← links)
- On the partial identification of a new causal measure for ordinal outcomes (Q1640913) (← links)
- Selection and integration of generalized instrumental variables for estimating total effects (Q2062388) (← links)
- Instrumental variable estimation with the R package \texttt{vtools} (Q2192298) (← links)
- A causal proportional hazards estimator under homogeneous or heterogeneous selection in an IV setting (Q2305782) (← links)
- On the estimation accuracy of causal effects using supplementary variables (Q2815595) (← links)
- Estimating peer effects in longitudinal dyadic data using instrumental variables (Q2927599) (← links)
- Estimating and contextualizing the attenuation of odds ratios due to non collapsibility (Q2980136) (← links)
- Likelihood analysis of the binary instrumental variable model (Q3107986) (← links)
- IV estimation without distributional assumptions (Q3299065) (← links)
- The Case‐Only Odds Ratio as a Causal Parameter (Q3435686) (← links)
- Estimating a Marginal Causal Odds Ratio Subject to Confounding (Q3622049) (← links)
- Instrumental variables and inverse probability weighting for causal inference from longitudinal observational studies (Q4825546) (← links)
- Instrumental Variable Estimators for Binary Outcomes (Q4904739) (← links)
- Discussion On “Instrumental Variable Estimation of the Causal Hazard Ratio” by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt (Q6079735) (← links)
- The risk of maternal complications after Cesarean delivery: near-far matching for instrumental variables study designs with large observational datasets (Q6104151) (← links)
- Efficient and flexible estimation of natural direct and indirect effects under intermediate confounding and monotonicity constraints (Q6589256) (← links)
- Estimation of the number needed to treat, the number needed to be exposed, and the exposure impact number with instrumental variables (Q6611525) (← links)
- Formulating causal questions and principled statistical answers (Q6617441) (← links)