Pages that link to "Item:Q3128763"
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The following pages link to Analyzing Bivariate Ordinal Data Using a Global Odds Ratio (Q3128763):
Displaying 27 items.
- Marginal analysis of longitudinal ordinal data with misclassification in both response and covariates (Q158558) (← links)
- Likelihood analysis of the multivariate ordinal probit regression model for repeated ordinal responses (Q1023685) (← links)
- Some properties of regression estimators in GEE models for clustered ordinal data (Q1023725) (← links)
- Comparison of methods for ordinal lens opacity data from atomic-bomb survivors: Univariate worse-eye method and bivariate GEE method using global odds ratio (Q1029648) (← links)
- GEE for longitudinal ordinal data: comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN (Q1623578) (← links)
- Semi-parametric dynamic models for longitudinal ordinal categorical data (Q1744722) (← links)
- Regression theory for categorical time series (Q1764307) (← links)
- Inference on zero inflated ordinal models with semiparametric link (Q1796935) (← links)
- Two stage cluster sampling based asymptotic inferences in survey population models for longitudinal count and categorical data (Q2023826) (← links)
- The association in two-way ordinal contingency tables through global odds ratios (Q2143969) (← links)
- The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion) (Q2387136) (← links)
- Goodness-of-fit tests for modeling longitudinal ordinal data (Q2445640) (← links)
- A general class of hierarchical ordinal regression models with applications to correlated ROC analysis (Q2714923) (← links)
- GEE for multinomial responses using a local odds ratios parameterization (Q2861949) (← links)
- A mixed autoregressive probit model for ordinal longitudinal data (Q3303590) (← links)
- Regression analysis of correlated ordinal data using orthogonalized residuals (Q3465368) (← links)
- Bivariate versus univariate ordinal categorical data with reference to an ophthalmologic study (Q3518403) (← links)
- A latent variable regression model for asymmetric bivariate ordered categorical data (Q3592615) (← links)
- Analysis of clustered ordinal data with subclusters via a bayesian hierarchical model (Q3842903) (← links)
- Anova for repeated ordinal data with small sample size? a comparison of anova, manova, wls and gee methods by simulation (Q4232080) (← links)
- A Generalization of the Familial Longitudinal Binary Model to the Multinomial Setup (Q4645251) (← links)
- Dynamic Models for Longitudinal Ordinal Non-stationary Categorical Data (Q4645252) (← links)
- Modeling Clustered Ordered Categorical Data: A Survey (Q4832003) (← links)
- Analyzing bivariate ordinal data with CUB margins (Q4971424) (← links)
- Binary Dynamic Logit for Correlated Ordinal: estimation, application and simulation (Q5093040) (← links)
- Hypothesis Testing Problems in an Unbalanced Longitudinal Ophthalmology Study (Q5201504) (← links)
- Asymptotic properties of GEE estimator for clustered ordinal data with high-dimensional covariates (Q5875326) (← links)
