The following pages link to Mixtures of marginal models (Q4506034):
Displaying 41 items.
- Marginal regression analysis of clustered failure time data with a cure fraction (Q151128) (← links)
- Structural equation modeling of multivariate gamma density (Q467981) (← links)
- The large sample properties of the solutions of general estimating equations (Q488897) (← links)
- Generalized linear mixed models: a review and some extensions (Q636149) (← links)
- Mixture models of categorization (Q696946) (← links)
- The AU algorithm for estimating equations in the presence of missing data (Q962022) (← links)
- Modelling inpatient length of stay by a hierarchical mixture regression via the EM algorithm. (Q1410978) (← links)
- GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries (Q1623819) (← links)
- Mixture models applied to heterogeneous populations (Q1654332) (← links)
- Multiscale stick-breaking mixture models (Q2029098) (← links)
- Latent mixture modeling for clustered data (Q2329780) (← links)
- Multi-dimensional latent group structures with heterogeneous distributions (Q2688647) (← links)
- Marginal projected multivariate linear models for clustered angular data (Q2804156) (← links)
- Marginal likelihood integrals for mixtures of independence models (Q2880943) (← links)
- Robust Estimation for Zero-Inflated Poisson Regression (Q3077794) (← links)
- Exploring the randomness of mentally generated head–tail sequences (Q3386467) (← links)
- Marginal models for zero inflated clustered data (Q3429979) (← links)
- Clustered Mixed Nonhomogeneous Poisson Process Spline Models for the Analysis of Recurrent Event Panel Data (Q3530091) (← links)
- Model influence functions based on mixtures (Q4344827) (← links)
- Grouped Heterogeneous Mixture Modeling for Clustered Data (Q4999176) (← links)
- Robust inference in the multilevel zero-inflated negative binomial model (Q5036982) (← links)
- GEE-based zero-inflated generalized Poisson model for clustered over or under-dispersed count data (Q5107485) (← links)
- Mixtures and products in two graphical models (Q5226931) (← links)
- Multivariate Bernoulli Mixture Models with Application to Postmortem Tissue Studies in Schizophrenia (Q5434924) (← links)
- Multivariate Bernoulli Mixture Models with Application to Postmortem Tissue Studies in Schizophrenia (Q5449903) (← links)
- Mixed Markov models (Q5460787) (← links)
- Two-component mixtures of generalized linear mixed effects models for cluster correlated data (Q5694494) (← links)
- Marginal regression models for clustered count data based on zero‐inflated Conway–Maxwell–Poisson distribution with applications (Q5739291) (← links)
- (Q5879929) (← links)
- Grouped Generalized Estimating Equations for Longitudinal Data Analysis (Q6055758) (← links)
- Modified score function for monotone likelihood in the semiparametric mixture cure model (Q6068494) (← links)
- Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution (Q6071003) (← links)
- Scalable and robust latent trajectory class analysis using artificial likelihood (Q6076526) (← links)
- Autoregressive mixture models for clustering time series (Q6134638) (← links)
- Mixture models with decreasing weights (Q6166925) (← links)
- Heterogeneous analysis for clustered data using grouped finite mixture models (Q6190661) (← links)
- Conway-Maxwell-Poisson regression models for dispersed count data (Q6602132) (← links)
- Recent developments in expectation-maximization methods for analyzing complex data (Q6607911) (← links)
- Robust inference in the joint modeling of multilevel zero-inflated Poisson and Cox models (Q6627937) (← links)
- \(\tau\)-inflated beta regression model for censored recurrent events (Q6630380) (← links)
- Poisson-Birnbaum-Saunders regression model for clustered count data (Q6665516) (← links)
