Pages that link to "Item:Q4360505"
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The following pages link to Sample Size Calculations for Studies with Correlated Observations (Q4360505):
Displaying 18 items.
- A GEE approach to determine sample size for pre- and post-intervention experiments with dropout (Q1615178) (← links)
- A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models (Q1872606) (← links)
- Modified \(F\) tests for assessing the multiple correlation between one spatial process and several others (Q2475772) (← links)
- Sample size estimation in cluster randomized studies with varying cluster size (Q2717992) (← links)
- Sample size calculations for time-averaged difference of longitudinal binary outcomes (Q2980064) (← links)
- Optimal design of longitudinal data analysis using generalized estimating equation models (Q2980227) (← links)
- The Myth of Continuity-Corrected Sample Size Formulae (Q4348977) (← links)
- SAMPLE SIZE FOR COMPARING LINEAR GROWTH CURVES (Q4512723) (← links)
- OPTIMAL EXPERIMENTAL DESIGNS FOR MULTILEVEL MODELS WITH COVARIATES (Q4540576) (← links)
- Adapting sample size calculations to repeated measurements in clinical trials (Q4540835) (← links)
- Some factors affecting statistical power of approximate tests in the linear mixed model for longitudinal data (Q4563408) (← links)
- Optimal Experimental Designs for Multilevel Logistic Models with Two Binary Predictors (Q4681072) (← links)
- Sample size calculations for hierarchical Poisson and zero-inflated Poisson regression models (Q5082583) (← links)
- Sample Size Determination for Hierarchical Longitudinal Designs with Differential Attrition Rates (Q5434895) (← links)
- A mixed model formulation for designing cluster randomized trials with binary outcomes (Q5694519) (← links)
- Adaptive Design and Estimation in Randomized Clinical Trials with Correlated Observations (Q5714618) (← links)
- Sample size calculation in three-level cluster randomized trials using generalized estimating equation models (Q6627623) (← links)
- A unified approach to sample size and power determination for testing parameters in generalized linear and time-to-event regression models (Q6627632) (← links)
