Pages that link to "Item:Q452693"
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The following pages link to Analysis of zero-inflated clustered count data: a marginalized model approach (Q452693):
Displaying 18 items.
- Modeling the random effects covariance matrix for generalized linear mixed models (Q434920) (← links)
- Multilevel zero-inflated generalized Poisson regression modeling for dispersed correlated count data (Q670094) (← links)
- Clustering for time-varying relational count data (Q830430) (← links)
- Analysis of long series of longitudinal ordinal data using marginalized models (Q1660174) (← links)
- Marginalized random-effects models for clustered binomial data through innovative link functions (Q2058540) (← links)
- Marginalized models for longitudinal count data (Q2416738) (← links)
- Joint frailty models for zero-inflated recurrent events in the presence of a terminal event (Q2805201) (← links)
- Marginal models for zero inflated clustered data (Q3429979) (← links)
- RANDOM THRESHOLD MODELS APPLIED TO INFLATED ZERO CLASS DATA (Q4347558) (← links)
- The k‐ZIG: Flexible Modeling for Zero‐Inflated Counts (Q4649068) (← links)
- (Q4926624) (← links)
- Marginalized zero-inflated generalized Poisson regression (Q5035732) (← links)
- Regression analysis of zero-inflated time-series counts: application to air pollution related emergency room visit data (Q5126959) (← links)
- First-order marginalised transition random effects models with probit link function (Q5138051) (← links)
- Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout (Q5416413) (← links)
- MODELLING TRUNCATED AND CLUSTERED COUNT DATA (Q5438577) (← links)
- Random effect models for repeated measures of zero-inflated count data (Q5694493) (← links)
- Zero-inflated modeling. I: Traditional zero-inflated count regression models, their applications, and computational tools (Q6602346) (← links)
