Pages that link to "Item:Q4455424"

The following pages link to A family of multivariate binary distributions for simulating correlated binary variables with specified marginal means and correlations (Q4455424):

Displaying 31 items.

• Simulating dependent binary variables through multinomial sampling (Q5222351) (← links)
• Modelling heterogeneity in longitudinal binomial responses by generalized estimating equations (Q5222450) (← links)
• On-line monitoring data quality of high-dimensional data streams (Q5222469) (← links)
• Alternating logistic regressions with improved finite sample properties (Q5283335) (← links)
• A List Sequential Sampling Method Suitable for Real‐Time Sampling (Q5324879) (← links)
• A randomised approach for NARX model identification based on a multivariate Bernoulli distribution (Q5347338) (← links)
• BinNor: An R Package for Concurrent Generation of Binary and Normal Data (Q5415871) (← links)
• Selection of Working Correlation Structure in Weighted Generalized Estimating Equation Method for Incomplete Longitudinal Data (Q5417901) (← links)
• A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations (Q5434932) (← links)
• Determination of the Selection Statistics and Best Significance Level in Backward Stepwise Logistic Regression (Q5451117) (← links)
• Adaptive Design and Estimation in Randomized Clinical Trials with Correlated Observations (Q5714618) (← links)
• Power for balanced linear mixed models with complex missing data processes (Q5875198) (← links)
• A Note on the Simulation of Overdispersed Random Variables With Specified Marginal Means and Product Correlations (Q5877643) (← links)
• Generalizing the information content for stepped wedge designs: A marginal modeling approach (Q6049778) (← links)
• Impact of unequal cluster sizes for GEE analyses of stepped wedge cluster randomized trials with binary outcomes (Q6068479) (← links)
• Power considerations for generalized estimating equations analyses of four‐level cluster randomized trials (Q6068806) (← links)
• Scalable and robust latent trajectory class analysis using artificial likelihood (Q6076526) (← links)
• Tight Probability Bounds with Pairwise Independence (Q6158360) (← links)
• High dimensional Bernoulli distributions: algebraic representation and applications (Q6178587) (← links)
• A generalized single‐index linear threshold model for identifying treatment‐sensitive subsets based on multiple covariates and longitudinal measurements (Q6180923) (← links)
• Bias analysis of generalized estimating equations under measurement error and practical bias correction (Q6543826) (← links)
• Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomes (Q6560502) (← links)
• Simulating and estimating agreement in the presence of multiple raters and covariates (Q6617527) (← links)
• Power and sample size requirements for GEE analyses of cluster randomized crossover trials (Q6625668) (← 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)
• Power calculation for analyses of cross-sectional stepped-wedge cluster randomized trials with binary outcomes via generalized estimating equations (Q6628208) (← links)
• Sample size calculation for cluster randomized trials with zero-inflated count outcomes (Q6628356) (← links)
• The batched stepped wedge design: a design robust to delays in cluster recruitment (Q6628668) (← links)
• Designing individually randomized group treatment trials with repeated outcome measurements using generalized estimating equations (Q6630277) (← links)
• Effect of smoothing in generalized linear mixed models on the estimation of covariance parameters for longitudinal data (Q6632741) (← links)