Pages that link to "Item:Q3636996"

The following pages link to On Estimation of the Survivor Average Causal Effect in Observational Studies When Important Confounders Are Missing Due to Death (Q3636996):

Displaying 21 items.

• Sensitivity analysis for stratified comparisons in an observational study of the effect of smoking on homocysteine levels (Q101946) (← links)
• Causal inference through potential outcomes and principal stratification: application to studies with ``censoring'' due to death (Q449724) (← links)
• Longitudinal data with follow-up truncated by death: match the analysis method to research aims (Q903278) (← links)
• Stronger instruments via integer programming in an observational study of late preterm birth outcomes (Q1951518) (← links)
• Assessment of the extent of corroboration of an elaborate theory of a causal hypothesis using partial conjunctions of evidence factors (Q1996769) (← links)
• Causal inference for left-truncated and right-censored data with covariate measurement error (Q2174074) (← links)
• Isolation in the construction of natural experiments (Q2258562) (← links)
• Extended sensitivity analysis for heterogeneous unmeasured confounding with an application to sibling studies of returns to education (Q2318655) (← links)
• An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer (Q2428737) (← links)
• The cross-cut statistic and its sensitivity to bias in observational studies with ordered doses of treatment (Q2805193) (← links)
• Identifiability of causal effects for binary variables with baseline data missing due to death (Q2893993) (← links)
• Impact of Multiple Matched Controls on Design Sensitivity in Observational Studies (Q4919569) (← links)
• Optimal Tradeoffs in Matched Designs Comparing US-Trained and Internationally Trained Surgeons (Q5146018) (← links)
• An adaptive Mantel–Haenszel test for sensitivity analysis in observational studies (Q5283297) (← links)
• Causal inference for non-mortality outcomes in the presence of death (Q5308149) (← links)
• Case Definition and Design Sensitivity (Q5406372) (← links)
• Using Post-Outcome Measurement Information in Censoring-by-Death Problems (Q5743236) (← links)
• Testing Weak Nulls in Matched Observational Studies (Q6079705) (← links)
• Adjusting for unmeasured confounding in survival causal effect using validation data (Q6167044) (← links)
• Translating questions to estimands in randomized clinical trials with intercurrent events (Q6628626) (← links)
• The balanced survivor average causal effect (Q6637432) (← links)