Pages that link to "Item:Q81826"
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The following pages link to Longitudinal data analysis using generalized linear models (Q81826):
Displaying 50 items.
- A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values (Q2256744) (← links)
- Achieving semiparametric efficiency bound in longitudinal data analysis with dropouts (Q2256745) (← links)
- Evaluating epoetin dosing strategies using observational longitudinal data (Q2258584) (← links)
- Weighted estimating equation: modified GEE in longitudinal data analysis (Q2259109) (← links)
- The simultaneous analysis of mixed discrete and continuous outcomes using nonlinear threshold models (Q2259636) (← links)
- D-optimal designs for mixed discrete and continuous outcomes analyzed using nonlinear models (Q2259637) (← links)
- Handling missingness when modeling the force of infection from clustered seroprevalence data (Q2259836) (← links)
- A two-stage logistic regression model for analyzing inter-rater agreement (Q2259873) (← links)
- A mixed model for investigating a population of asymptotic growth curves using restricted \(B\)-splines (Q2259970) (← links)
- A multivariate reduced-rank growth curve model with unbalanced data (Q2259979) (← links)
- Selecting the number of classes under latent class regression: a factor analytic analogue (Q2260056) (← links)
- Dispersion-weighted kappa: an integrative framework for metric and nominal scale agreement coefficients (Q2260069) (← links)
- On Muthén's maximum likelihood for two-level covariance structure models (Q2260070) (← links)
- Maximum likelihood estimation of regression parameters with spatially dependent discrete data (Q2260102) (← links)
- Bayesian hierarchical modeling for categorical longitudinal data from sedation measurements (Q2262240) (← links)
- Comparison of causal effect estimators under exposure misclassification (Q2266902) (← links)
- Mixtures of semiparametric varying coefficient models for longitudinal data with nonignorable dropout (Q2267283) (← links)
- An estimating equations approach to fitting latent exposure models with longitudinal health outcomes (Q2270676) (← links)
- Expected utility theory and prospect theory: One wedding and a decent funeral (Q2271092) (← links)
- On a general class of semiparametric hazards regression models for recurrent gap times (Q2274179) (← links)
- Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data (Q2274969) (← links)
- The influence of individual claims on the chain-ladder estimates: analysis and diagnostic tool (Q2276208) (← links)
- A generalized linear model with smoothing effects for claims reserving (Q2276256) (← links)
- Multivariate count autoregression (Q2278669) (← links)
- Bootstrap ICC estimators in analysis of small clustered binary data (Q2282601) (← links)
- Parsimonious mean-covariance modeling for longitudinal data with ARMA errors (Q2287377) (← links)
- A conversation with Peter Diggle (Q2292399) (← links)
- Quantile regression for panel count data based on quadratic inference functions (Q2301117) (← links)
- Marginal quantile regression for varying coefficient models with longitudinal data (Q2304243) (← links)
- Modelling multilevel data under complex sampling designs: an empirical likelihood approach (Q2305303) (← links)
- Inference with difference-in-differences revisited (Q2312964) (← links)
- Two-step estimation for longitudinal data when the working correlation matrix is a linear combination of some known matrices (Q2316291) (← links)
- Inferences with generalized partially linear single-index models for longitudinal data (Q2317281) (← links)
- Cluster randomized trials: considerations for design and analysis (Q2320981) (← links)
- Asymptotic theory for longitudinal data with missing responses adjusted by inverse probability weights (Q2322943) (← links)
- Mantel-Haenszel estimators of a common odds ratio for multiple response data (Q2324289) (← links)
- Bayesian joint semiparametric mean-covariance modeling for longitudinal data (Q2328676) (← links)
- Quantile estimations via modified Cholesky decomposition for longitudinal single-index models (Q2330530) (← links)
- Asymptotic theory and wild bootstrap inference with clustered errors (Q2330727) (← links)
- Simplified estimation and testing in unbalanced repeated measures designs (Q2331155) (← links)
- Modeling dependence structures for response times in a Bayesian framework (Q2331189) (← links)
- Varying-coefficient mean-covariance regression analysis for longitudinal data (Q2344387) (← links)
- Mixed model and estimating equation approaches for zero inflation in clustered binary response data with application to a dating violence study (Q2349573) (← links)
- Weighted quantile regression for longitudinal data (Q2354749) (← links)
- Additive mixed effect model for recurrent gap time data (Q2356624) (← links)
- QR decomposition based orthogonality estimation for partially linear models with longitudinal data (Q2357443) (← links)
- A conditional count model for repeated count data and its application to GEE approach (Q2359170) (← links)
- A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: a simulation study (Q2359476) (← links)
- A class of transformation rate models for recurrent event data (Q2360811) (← links)
- Weighted quantile regression for longitudinal data using empirical likelihood (Q2360851) (← links)