Pages that link to "Item:Q4269990"
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The following pages link to Pseudo-likelihood inference for clustered binary data (Q4269990):
Displaying 16 items.
- Inference for clustered data using the independence loglikelihood (Q79199) (← links)
- Pseudo-likelihood methodology for partitioned large and complex samples (Q544667) (← links)
- A pairwise likelihood approach to estimation in multilevel probit models (Q956809) (← links)
- Misspecifying the likelihood for clustered binary data. (Q1128458) (← links)
- Bootstrapping pseudolikelihood models for clustered binary data (Q1962603) (← links)
- Bootstrapping local polynomial estimators in likelihood-based models (Q1973316) (← links)
- Objective Bayesian edge screening and structure selection for Ising networks (Q2141635) (← links)
- Parameter inference in a probabilistic model using clustered data (Q2155048) (← links)
- Likelihood Methods for Binary Responses of Present Components in a Cluster (Q3013994) (← links)
- A note on the comparison of pseudo-likelihood and generalized estimating equations for marginally specified odds ratio models with exchangeable association structure (Q4253262) (← links)
- Behaviour of the likelihood ratio test statistic under a bahadur model for exchangeable binary data (Q4253294) (← links)
- Protective estimation of longitudinal categorical data with nonrandom dropout (Q4337302) (← links)
- Clusters with random size: maximum likelihood versus weighted estimation (Q4571201) (← links)
- Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles (Q5492080) (← links)
- Bootstrap tests for misspecified models, with application to clustered binary data. (Q5941111) (← links)
- Multiple comparisons using composite likelihood in clustered data (Q6632762) (← links)