Pages that link to "Item:Q2717992"

The following pages link to Sample size estimation in cluster randomized studies with varying cluster size (Q2717992):

Displaying 32 items.

• On unbalanced group sizes in cluster randomized designs using balanced ranked set sampling (Q511588) (← links)
• Power, sample size and sampling costs for clustered data (Q544652) (← links)
• Sample size determination for cluster randomization phase II trials of dichotomous data (Q713883) (← links)
• Effect of imbalance and intracluster correlation coefficient in cluster randomized trials with binary outcomes (Q961155) (← links)
• Sample size requirements to detect an intervention by time interaction in longitudinal cluster randomized clinical trials with random slopes (Q2361234) (← links)
• Sample size calculations for clustered SMART designs (Q2829296) (← links)
• (Q2936112) (← links)
• Sample Size Considerations for GEE Analyses of Three-Level Cluster Randomized Trials (Q3076059) (← links)
• Using the potential outcome framework to estimate optimal sample size for cluster randomized trials: a simulation-based algorithm (Q3390338) (← links)
• Relative efficiency of unequal cluster sizes for variance component estimation in cluster randomized and multicentre trials (Q3597116) (← links)
• Sample Size Estimation for Survival Outcomes in Cluster‐Randomized Studies with Small Cluster Sizes (Q4667491) (← links)
• Optimal Experimental Designs for Multilevel Logistic Models with Two Binary Predictors (Q4681072) (← links)
• Statistical methods for continuous outcomes in partially clustered designs (Q4976267) (← links)
• Sample size calculation for count outcomes in cluster randomization trials with varying cluster sizes (Q5085561) (← links)
• Comparison of three-level cluster randomized trials using quantile dispersion graphs (Q5130296) (← links)
• Power analysis for cluster randomized trials with binary outcomes modeled by generalized linear mixed-effects models (Q5138061) (← links)
• Optimality of Equal vs. Unequal Cluster Sizes in Multilevel Intervention Studies: A Monte Carlo Study for Small Sample Sizes (Q5451133) (← links)
• A mixed model formulation for designing cluster randomized trials with binary outcomes (Q5694519) (← links)
• Power analysis for stratified cluster randomisation trials with cluster size being the stratifying factor (Q5880170) (← links)
• Power analysis for cluster randomized trials with multiple binary co‐primary endpoints (Q6047743) (← links)
• Sample size estimation for cancer randomized trials in the presence of heterogeneous populations (Q6055721) (← links)
• Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes (Q6068479) (← links)
• Sample size and power considerations for cluster randomized trials with count outcomes subject to right truncation (Q6091683) (← links)
• Bayesian group sequential designs for cluster-randomized trials (Q6543955) (← links)
• Sample size calculation in hierarchical \(2 \times 2\) factorial trials with unequal cluster sizes (Q6622274) (← links)
• Sample size considerations for stratified cluster randomization design with binary outcomes and varying cluster size (Q6624713) (← links)
• Power and sample size requirements for GEE analyses of cluster randomized crossover trials (Q6625668) (← links)
• Sample size calculation in three-level cluster randomized trials using generalized estimating equation models (Q6627623) (← links)
• Sample size considerations for matched-pair cluster randomization design with incomplete observations of binary outcomes (Q6628035) (← links)
• Statistical power and sample size requirements to detect an intervention by time interaction in four-level longitudinal cluster randomized trials (Q6628393) (← links)
• Incorporating pragmatic features into power analysis for cluster randomized trials with a count outcome (Q6629860) (← links)
• Variance formulae for multiphase stepped wedge cluster randomized trial (Q6629879) (← links)