Pages that link to "Item:Q3174193"
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The following pages link to Marginal methods for correlated binary data with misclassified responses (Q3174193):
Displaying 12 items.
- Marginal analysis of longitudinal ordinal data with misclassification in both response and covariates (Q158558) (← links)
- Regularized matrix-variate logistic regression with response subject to misclassification (Q2059430) (← links)
- Fixed versus mixed effects based marginal models for clustered correlated binary data: an overview on advances and challenges (Q2135598) (← links)
- Testing of Poisson mean with under-reported counts (Q2244844) (← links)
- Analysis of Clustered and Longitudinal Binary Data Subject to Response Misclassification (Q3079011) (← links)
- Imputation and likelihood methods for matrix‐variate logistic regression with response misclassification (Q5094276) (← links)
- Correlated and misclassified binary observations in complex surveys (Q5094352) (← links)
- Generalized Network Structured Models with Mixed Responses Subject to Measurement Error and Misclassification (Q6055854) (← links)
- Estimation of Poisson mean with under‐reported counts: a double sampling approach (Q6081854) (← links)
- Semiparametric probit regression model with misclassified current status data (Q6149280) (← links)
- A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model (Q6628172) (← links)
- Genetic association studies with bivariate mixed responses subject to measurement error and misclassification (Q6629826) (← links)