Pairwise Fitting of Mixed Models for the Joint Modeling of Multivariate Longitudinal Profiles
From MaRDI portal
Publication:5492080
DOI10.1111/j.1541-0420.2006.00507.xzbMath1097.62058OpenAlexW2067042195WikidataQ50462456 ScholiaQ50462456MaRDI QIDQ5492080
Publication date: 12 October 2006
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1541-0420.2006.00507.x
mixed modelspseudo likelihoodjoint modelinghearing thresholdsmultivariate longitudinal profilescorrelated curves
Multivariate analysis (62H99) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
Related Items
Joint hierarchical generalized linear models with multivariate Gaussian random effects, A semiparametric model for vQTL mapping, Pairwise likelihood ratio tests and model selection criteria for structural equation models with ordinal variables, Statistical inference for multivariate longitudinal data with irregular auto-correlated error process, Composite likelihood inference by nonparametric saddlepoint tests, Joint generalized models for multidimensional outcomes: A case study of neuroscience data from multimodalities, On the predictive performance of two Bayesian joint models: a simulation study, Nonparametric combination-based tests in dynamic shape analysis, Joint modeling of multivariate hearing thresholds measured longitudinally at multiple frequencies, Simultaneous variable selection and estimation for multivariate multilevel longitudinal data with both continuous and binary responses, Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes, A three-part regression calibration to handle excess zeroes, skewness and heteroscedasticity in adjusting for measurement error in dietary intake data, A joint mean-correlation modeling approach for longitudinal zero-inflated count data, An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data, Joint modeling of multivariate longitudinal mixed measurements and time to event data using a Bayesian approach, Joint estimation of disease-specific sensitivities and specificities in reader-based multi-disease diagnostic studies of paired organs, A joint normal‐binary (probit) model, Pseudo-likelihood estimation of multivariate normal parameters in the presence of left-censored data, Fast two-stage estimator for clustered count data with overdispersion, Classification based on multivariate mixed type longitudinal data with an application to the EU-SILC database, On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes, Modeling Time-Varying Random Objects and Dynamic Networks, Longitudinal modeling of age-dependent latent traits with generalized additive latent and mixed models, Clusterwise multivariate regression of mixed-type panel data, Screening for prostate cancer using multivariate mixed-effects models, Multivariate longitudinal modeling of insurance company expenses, A transition model for analyzing multivariate longitudinal data using Gaussian copula approach, Joint modeling of bottle use, daily milk intake from bottles, and daily energy intake in toddlers, A modified weighted pairwise likelihood estimator for a class of random effects models, Risk-predictive probabilities and dynamic nonparametric conditional quantile models for longitudinal analysis, A robust pairwise likelihood method for incomplete longitudinal binary data arising in clusters, A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional data, A review of multivariate longitudinal data analysis, An innovative strategy on the construction of multivariate multimodal linear mixed-effects models, Pseudo-likelihood methodology for partitioned large and complex samples, Variance least squares estimators for multivariate linear mixed model, Computation of maximum likelihood estimates for multiresponse generalized linear mixed models with non-nested, correlated random effects, Joint modeling of covariates and censoring process assuming non-constant dropout hazard, Progressive multi-state models for informatively incomplete longitudinal data, Likelihood analysis of joint marginal and conditional models for longitudinal categorical data, High Dimensional Multivariate Mixed Models for Binary Questionnaire Data, Spatial Species Sampling and Product Partition Models, Bayesian Nonparametrics for Missing Data in Longitudinal Clinical Trials, On composite marginal likelihoods, Regularized estimation of precision matrix for high-dimensional multivariate longitudinal data, Gaussian copula distributions for mixed data, with application in discrimination, Pairwise estimation of multivariate longitudinal outcomes in a Bayesian setting with extensions to the joint model, A Comparative Study of Approaches for Predicting Prostate Cancer from Longitudinal Data, A multivariate linear model for investigating the association between gene-module co-expression and a continuous covariate, Sampling of pairs in pairwise likelihood estimation for latent variable models with categorical observed variables, Prepivoting composite score statistics by weighted bootstrap iteration, Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models, Bayesian analysis of multivariate mixed models for a prospective cohort study using skew-elliptical distributions, Joint modeling for longitudinal covariate and binary outcome via h-likelihood
Uses Software
Cites Work
- Unnamed Item
- Validation of Surrogate end Points in Multiple Randomized Clinical Trials with Failure Time end Points
- Random-Effects Models for Longitudinal Data
- A pairwise likelihood approach to estimation in multilevel probit models
- Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients
- The Effect of Covariance Structure on Variance Estimation in Balanced Growth-Curve Models with Random Parameters
- Multivariate Repeated-Measurement or Growth Curve Models with Multivariate Random-Effects Covariance Structure
- Pseudo-likelihood inference for clustered binary data
- A Random-Effects Model for Multiple Characteristics With Possibly Missing Data
- The validation of surrogate endpoints in meta-analyses of randomized experiments
- Approximate Inference in Generalized Linear Mixed Models
- Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm
- Linear mixed models for longitudinal data