The simultaneous analysis of mixed discrete and continuous outcomes using nonlinear threshold models

DOI10.1198/108571107X177690zbMath1306.62223OpenAlexW1986290298MaRDI QIDQ2259636

Chris Gennings, Todd Coffey

Publication date: 5 March 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/108571107x177690

zbMATH Keywords

multiple outcomesgeneralized estimating equations (GEE)correlated responsesdose threshold

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Related Items (2)

Generalized fiducial inference for threshold estimation in dose-response and regression settings ⋮ D-optimal designs for mixed discrete and continuous outcomes analyzed using nonlinear models

Uses Software

• SASmixed

Cites Work

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• Longitudinal data analysis using generalized linear models
• Quasi-likelihood functions
• On Repeated Measures Analysis with Misspecified Covariance Structure
• A Bayesian Approach for Joint Modeling of Cluster Size and Subunit-Specific Outcomes
• Latent Transition Regression for Mixed Outcomes
• Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
• Hypothesis testing of regression parameters in semiparametric generalized linear models for cluster correlated data
• Design and Analysis of Group Sequential Clinical Trials with Multiple Primary Endpoints
• Exact Analysis of Dose Response for Multiple Correlated Binary Outcomes
• Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data
• Analyzing Bivariate Repeated Measures for Discrete and Continuous Outcome Variables
• Regression Models for Mixed Discrete and Continuous Responses with Potentially Missing Values
• Dynamic Latent Trait Models for Multidimensional Longitudinal Data
• Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm
• Fitting Nonlinear and Constrained Generalized Estimating Equations with Optimization Software
• Variance Components Testing in the Longitudinal Mixed Effects Model
• Threshold Models for Combination Data from Reproductive and Developmental Experiments
• Bayesian latent variable models for mixed discrete outcomes

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