Pages that link to "Item:Q5254729"
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The following pages link to Split Samples and Design Sensitivity in Observational Studies (Q5254729):
Displaying 21 items.
- Nonparametric bounds and sensitivity analysis of treatment effects (Q252812) (← links)
- Matching methods for causal inference: a review and a look forward (Q903298) (← links)
- Rejoinder: Matching methods for observational studies derived from large administrative databases (Q2218058) (← links)
- An exact adaptive test with superior design sensitivity in an observational study of treatments for ovarian cancer (Q2428737) (← links)
- Does data splitting improve prediction? (Q2631345) (← links)
- Splitting the sample at the largest uncensored observation (Q2676919) (← links)
- The cross-cut statistic and its sensitivity to bias in observational studies with ordered doses of treatment (Q2805193) (← links)
- Using Split Samples and Evidence Factors in an Observational Study of Neonatal Outcomes (Q3095171) (← links)
- A New u-Statistic with Superior Design Sensitivity in Matched Observational Studies (Q3100807) (← links)
- A two-stage strategy to accommodate general patterns of confounding in the design of observational studies (Q3303814) (← links)
- Effect Modification and Design Sensitivity in Observational Studies (Q4916934) (← links)
- Weighted <i>M</i>-statistics With Superior Design Sensitivity in Matched Observational Studies With Multiple Controls (Q4975566) (← links)
- Sharpening the Rosenbaum Sensitivity Bounds to Address Concerns About Interactions Between Observed and Unobserved Covariates (Q5072152) (← links)
- On Sensitivity Value of Pair-Matched Observational Studies (Q5231499) (← links)
- Multiple Testing When Many <i>p</i>-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions (Q5242476) (← links)
- Case Definition and Design Sensitivity (Q5406372) (← links)
- Selecting and Ranking Individualized Treatment Rules With Unmeasured Confounding (Q5857148) (← links)
- A pilot design for observational studies: using abundant data thoughtfully (Q6617428) (← links)
- An exact test with high power and robustness to unmeasured confounding effects (Q6627516) (← links)
- Balancing vs modeling approaches to weighting in practice (Q6627611) (← links)
- Protocols for observational studies: methods and open problems (Q6649128) (← links)
