Pages that link to "Item:Q3078690"

The following pages link to Akaike's Information Criterion in Generalized Estimating Equations (Q3078690):

Displaying 49 items.

• A Robust Consistent Information Criterion for Model Selection Based on Empirical Likelihood (Q5089442) (← links)
• GEE-based Bell model for longitudinal count outcomes (Q5092694) (← links)
• (Q5101704) (← links)
• Model selection in regression based on pre-smoothing (Q5123630) (← links)
• A generalised linear space–time autoregressive model with space–time autoregressive disturbances (Q5138070) (← links)
• (Q5159433) (← links)
• Model selection with misspecified spatial covariance structure (Q5220859) (← links)
• ANALYSIS OF COUNT DATA FITTING GEE MODEL: AN APPLICATION TO ADOLESCENT BEHAVIORAL MONITORING DATA (Q5237623) (← links)
• The connection between cross-validation and Akaike information criterion in a semiparametric family (Q5299889) (← links)
• Systematic Mortality Improvement Trends and Mortality Heterogeneity: Insights from Individual-Level HRS Data (Q5382566) (← links)
• Selection of Working Correlation Structure in Weighted Generalized Estimating Equation Method for Incomplete Longitudinal Data (Q5417901) (← links)
• Criterion for the simultaneous selection of a working correlation structure and either generalized estimating equations or the quadratic inference function approach (Q5420232) (← links)
• Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data (Q5436417) (← links)
• Diagnostic techniques in generalized estimating equations (Q5438725) (← links)
• Effects of Variance‐Function Misspecification in Analysis of Longitudinal Data (Q5714623) (← links)
• Variable Selection for Marginal Longitudinal Generalized Linear Models (Q5714639) (← links)
• A Generalized Estimating Equation Method for Fitting Autocorrelated Ordinal Score Data with an Application in Horticultural Research (Q5757853) (← links)
• A Latent Model to Detect Multiple Clusters of Varying Sizes (Q5850945) (← links)
• Feasibility as a mechanism for model identification and validation (Q5861476) (← links)
• Variable selection and estimation for partially linear single-index models with longitudinal data (Q5963730) (← links)
• Model Selection of Generalized Estimating Equation With Divergent Model Size (Q6039870) (← links)
• Application of gap time analysis with flexible hazards to pulmonary exacerbations in the EPIC observational study (Q6068646) (← links)
• Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution (Q6071003) (← links)
• Penalized joint generalized estimating equations for longitudinal binary data (Q6089746) (← links)
• Ultra-High Dimensional Quantile Regression for Longitudinal Data: An Application to Blood Pressure Analysis (Q6107193) (← links)
• New model-averaged estimators of concordance correlation coefficients: simulation and application to longitudinal overdispersed Poisson data (Q6116464) (← links)
• A caution in the use of multiple criteria for selecting working correlation structure in generalized estimating equations (Q6116468) (← links)
• Comparison of generalized estimating equations and Quasi-Least Squares regression methods in terms of efficiency with a simulation study (Q6116471) (← links)
• Recognition and variable selection in sparse spatial panel data models with fixed effects (Q6138718) (← links)
• The perils of quasi-likelihood information criteria (Q6538507) (← links)
• Bootstrap-adjusted quasi-likelihood information criteria for mixed model selection (Q6547165) (← links)
• Softplus negative binomial network autoregression (Q6548909) (← links)
• Modeling individual tree mortality rates using marginal and random effects regression models (Q6551683) (← links)
• Selection Criterion of Working Correlation Structure for Spatially Correlated Data (Q6562797) (← links)
• Information criteria for model selection (Q6602021) (← links)
• Variable selection in the presence of missing data: imputation-based methods (Q6607056) (← links)
• Penalized weighted smoothed quantile regression for high-dimensional longitudinal data (Q6618491) (← links)
• Practical issues in using generalized estimating equations for inference on transitions in longitudinal data: what is being estimated? (Q6625702) (← links)
• Estimation and selection for spatial zero-inflated count models (Q6626669) (← links)
• Sample size calculation for clinical trials with correlated count measurements based on the negative binomial distribution (Q6627262) (← links)
• The first-order Markov conditional linear expectation approach for analysis of longitudinal Data (Q6627737) (← links)
• Robust approach for variable selection with high dimensional longitudinal data analysis (Q6628222) (← links)
• Distribution-free model selection for longitudinal zero-inflated count data with missing responses and covariates (Q6628624) (← links)
• Variable selection in semiparametric regression models for longitudinal data with informative observation times (Q6628630) (← links)
• A robust and unified framework for estimating heritability in twin studies using generalized estimating equations (Q6629844) (← links)
• Modelling occurrence and quantity of longitudinal semicontinuous data simultaneously with nonparametric unobserved heterogeneity (Q6632389) (← links)
• Fused mean structure learning in data integration with dependence (Q6632394) (← links)
• Locally efficient estimation of marginal treatment effects when outcomes are correlated: is the prize worth the chase? (Q6632693) (← links)
• Count network autoregression (Q6641047) (← links)