Pages that link to "Item:Q4666038"
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The following pages link to Assessing the Sensitivity of Regression Results to Unmeasured Confounders in Observational Studies (Q4666038):
Displaying 48 items.
- Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses (Q119531) (← links)
- A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data (Q124494) (← links)
- Nonparametric bounds and sensitivity analysis of treatment effects (Q252812) (← links)
- How strong is strong enough? Strengthening instruments through matching and weak instrument tests (Q312976) (← links)
- A Bayesian nonparametric causal model (Q665048) (← links)
- When is a sensitivity parameter exactly that? (Q667684) (← links)
- Sensitivity analysis for unmeasured confounding in a marginal structural Cox proportional hazards model (Q841066) (← links)
- The sensitivity of linear regression coefficients' confidence limits to the omission of a confounder (Q993258) (← links)
- Causal mediation analysis for survival outcome with unobserved mediator-outcome confounders (Q1660220) (← links)
- Alternative sensitivity analyses for regression estimates of treatment effects to unobserved confounding in binary and survival data (Q2082465) (← links)
- Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention (Q2135335) (← links)
- Regression analysis of unmeasured confounding (Q2197498) (← links)
- Outcome-wide longitudinal designs for causal inference: a new template for empirical studies (Q2218075) (← links)
- Bayesian sensitivity analysis to unmeasured confounding for misclassified data (Q2234731) (← links)
- Isolation in the construction of natural experiments (Q2258562) (← links)
- Analytic bounds on causal risk differences in directed acyclic graphs involving three observed binary variables (Q2272102) (← links)
- An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer (Q2428737) (← links)
- Evaluating costs with unmeasured confounding: a sensitivity analysis for the treatment effect (Q2441849) (← links)
- A causal model for joint evaluation of placebo and treatment-specific effects in clinical trials (Q2846439) (← links)
- Simple Formulae for Evaluating the Potential Impact of Confounding Bias (Q2892630) (← links)
- Generalized Cornfield conditions for the risk difference (Q2934774) (← links)
- Double Inverse-Weighted Estimation of Cumulative Treatment Effects Under Nonproportional Hazards and Dependent Censoring (Q3008854) (← links)
- Simplified Bayesian Sensitivity Analysis for Mismeasured and Unobserved Confounders (Q3076042) (← links)
- Sensitivity analysis for causal inference using inverse probability weighting (Q3100766) (← links)
- A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies (Q3100807) (← links)
- Sensitivity Analysis: Distributional Assumptions and Confounding Assumptions (Q3506517) (← links)
- The Sign of the Bias of Unmeasured Confounding (Q3530086) (← links)
- Contrasting Evidence Within and Between Institutions That Provide Treatment in an Observational Study of Alternate Forms of Anesthesia (Q4648533) (← links)
- Making Sense of Sensitivity: Extending Omitted Variable Bias (Q5117621) (← links)
- Sensitivity Analysis of Unmeasured Confounding for the Causal Risk Ratio by Applying Marginal Structural Models (Q5190584) (← links)
- Influence of trial duration on the bias of the estimated treatment effect in clinical trials when individual heterogeneity is ignored (Q5257926) (← links)
- Case Definition and Design Sensitivity (Q5406372) (← links)
- Calibrating Sensitivity Analyses to Observed Covariates in Observational Studies (Q5407994) (← links)
- Bias and Sensitivity Analysis When Estimating Treatment Effects from the Cox Model with Omitted Covariates (Q5408004) (← links)
- Sensitivity Analysis for m‐Estimates, Tests, and Confidence Intervals in Matched Observational Studies (Q5449917) (← links)
- Sensitivity Analysis for m‐Estimates, Tests, and Confidence Intervals in Matched Observational Studies (Q5459589) (← links)
- Sensitivity analysis for trend tests: application to the risk of radiation exposure (Q5694480) (← links)
- Sensitivity Analysis via the Proportion of Unmeasured Confounding (Q5881155) (← links)
- Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects (Q5885445) (← links)
- Analysis of local sensitivity to nonignorability with missing outcomes and predictors (Q6055677) (← links)
- Sensitivity analysis for observational studies with recurrent events (Q6205053) (← links)
- Monte Carlo sensitivity analysis for unmeasured confounding in dynamic treatment regimes (Q6563659) (← links)
- Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding (Q6567887) (← links)
- Bias testing, bias correction, and confounder selection using an instrumental variable model (Q6617386) (← links)
- A Bayesian nonparametric causal inference model for synthesizing randomized clinical trial and real-world evidence (Q6627147) (← links)
- Quantifying the bias due to observed individual confounders in causal treatment effect estimates (Q6627443) (← links)
- Sensitivity analysis of treatment effect to unmeasured confounding in observational studies with survival and competing risks outcomes (Q6627626) (← links)
- Direct effect and indirect effect on an outcome under nonlinear modeling (Q6636062) (← links)
