Pages that link to "Item:Q5122379"
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The following pages link to Small Sample Correction for the Variance of GEE Estimators (Q5122379):
Displaying 22 items.
- A Covariance Estimator for GEE with Improved Small‐Sample Properties (Q119341) (← links)
- A Stochastic Second-Order Generalized Estimating Equations Approach for Estimating Association Parameters (Q5066002) (← links)
- Approaches for the utilization of multiple criteria to select a working correlation structure for use within generalized estimating equations (Q5087936) (← links)
- A comparison study on modeling of clustered and overdispersed count data for multiple comparisons (Q5861164) (← links)
- Sample size and power analysis for stepped wedge cluster randomised trials with binary outcomes (Q5880076) (← links)
- Practical Review and Comparison of Modified Covariance Estimators for Linear Mixed Models in Small‐sample Longitudinal Studies with Missing Data (Q6067147) (← links)
- Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials (Q6068806) (← links)
- Small‐sample inference for cluster‐based outcome‐dependent sampling schemes in resource‐limited settings: Investigating low birthweight in Rwanda (Q6079493) (← links)
- Improving sandwich variance estimation for marginal Cox analysis of cluster randomized trials (Q6141309) (← links)
- ANOVA with binary variables: the F-test and some alternatives (Q6171527) (← links)
- Penalized estimation of panel count data using generalized estimating equation (Q6546434) (← links)
- Clustered restricted mean survival time regression (Q6594186) (← links)
- A comparison of bias-adjusted generalized estimating equations for sparse binary data in small-sample longitudinal studies (Q6625805) (← links)
- Bias-reduced and separation-proof GEE with small or sparse longitudinal binary data (Q6627143) (← links)
- Sample size estimation for stratified individual and cluster randomized trials with binary outcomes (Q6627350) (← links)
- Maintaining the validity of inference in small-sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations (Q6627545) (← links)
- Sample size calculation in three-level cluster randomized trials using generalized estimating equation models (Q6627623) (← links)
- Fitting marginal models in small samples: a simulation study of marginalized multilevel models and generalized estimating equations (Q6628027) (← links)
- Finite-sample adjustments in variance estimators for clustered competing risks regression (Q6628400) (← links)
- Design and analysis of cluster randomized trials with time-to-event outcomes under the additive hazards mixed model (Q6629336) (← links)
- Firth-type penalized methods of the modified Poisson and least-squares regression analyses for binary outcomes (Q6649367) (← links)
- Covariate-adjusted generalized pairwise comparisons in small samples (Q6656298) (← links)