Pages that link to "Item:Q6627545"
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The following pages link to Maintaining the validity of inference in small-sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations (Q6627545):
Displaying 8 items.
- The effect of number of clusters and magnitude of within-cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research (Q6618321) (← links)
- Response adaptive intervention allocation in stepped-wedge cluster randomized trials (Q6626760) (← links)
- Power analysis for stepped wedge trials with multiple interventions (Q6626805) (← links)
- Power calculation for analyses of cross-sectional stepped-wedge cluster randomized trials with binary outcomes via generalized estimating equations (Q6628208) (← links)
- Finite-sample adjustments in variance estimators for clustered competing risks regression (Q6628400) (← links)
- Power analyses for stepped wedge designs with multivariate continuous outcomes (Q6629948) (← links)
- Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations (Q6630277) (← links)
- Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity (Q6630332) (← links)