Pages that link to "Item:Q2773214"
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The following pages link to Local sensitivity approximations for selectivity bias (Q2773214):
Displaying 19 items.
- A Bayesian approach for sensitivity analysis of incomplete multivariate longitudinal data with potential nonrandom dropout (Q904905) (← links)
- An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer (Q2428737) (← links)
- Adjusting for nonignorable missingness when estimating generalized additive models (Q2786160) (← links)
- Non-homogeneous Markov process models with informative observations with an application to Alzheimer's disease (Q3003008) (← links)
- Doubly Robust Estimates for Binary Longitudinal Data Analysis with Missing Response and Missing Covariates (Q3100783) (← links)
- A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies (Q3100807) (← links)
- Multiple-Bias Modelling for Analysis of Observational Data (Q3409822) (← links)
- A Global Sensitivity Test for Evaluating Statistical Hypotheses with Nonidentifiable Models (Q3576934) (← links)
- Impact evaluation of job training programmes: Selection bias in multilevel models (Q3591868) (← links)
- An Index of Local Sensitivity to Nonignorability for a Pseudolikelihood Method (Q4921651) (← links)
- Clustered Treatment Assignments and Sensitivity to Unmeasured Biases in Observational Studies (Q4975337) (← links)
- Sensitivity analysis of the unconfoundedness assumption with an application to an evaluation of college choice effects on earnings (Q5128679) (← 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)
- Local Model Uncertainty and Incomplete-Data Bias (With Discussion) (Q5473051) (← links)
- Local Influence for Generalized Linear Models with Missing Covariates (Q5850965) (← links)
- Semiparametric regression models and sensitivity analysis of longitudinal data with non-random dropouts (Q6573264) (← links)
- A tractable method to account for high-dimensional nonignorable missing data in intensive longitudinal data (Q6627445) (← links)
- An exact test with high power and robustness to unmeasured confounding effects (Q6627516) (← links)
