A bivariate autoregressive linear mixed effects model for the analysis of longitudinal data

No abstract is available for this paper.

• Publication year

  2008

• Venue

  Statistics in Medicine

• Publication date

  2008-12-30

• Fields of study

  Medicine, Mathematics

• Identifiers
  DOI 10.1002/sim.3456PMID 18825651
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• An autoregressive linear mixed effects model for the analysis of longitudinal data which show profiles approaching asymptotes

  2007cited by this paper
• Nonlinear Regression: Seber/Nonlinear Regression

  2005cited by this paper
• Marginal and dynamic regression models for longitudinal data

  2001cited by this paper
• A stochastic model for the analysis of bivariate longitudinal AIDS data.

  1997cited by this paper
• A Random-Effects Model for Multiple Characteristics with Possibly Missing Data

  1997cited by this paper
• An EM Algorithm Fitting First-Order Conditional Autoregressive Models to Longitudinal Data

  1996cited by this paper
• Inference for the association between coefficients in a multivariate growth curve model.

  1995cited by this paper
• Longitudinal Data with Serial Correlation : A State-Space Approach

  1994cited by this paper
• Models for Repeated Measurements

  1993cited by this paper
• Feedback Models for Discrete and Continuous Time Series

  1991cited by this paper
• Estimating correlation between alternative measures of disease progression in a longitudinal study. Modification of Diet in Renal Disease Study.

  1990cited by this paper
• Autoregressive modelling for the analysis of longitudinal data with unequally spaced examinations.

  1988cited by this paper
• The use of an autoregressive model for the analysis of longitudinal data in epidemiologic studies.

  1985cited by this paper
• Formulation and estimation of dynamic models using panel data

  1982cited by this paper
• Time Series Models.

  1982cited by this paper
• Random-effects models for longitudinal data.

  1982cited by this paper

• Monitoring multistage multivariate therapeutic processes using risk‐adjusted model‐based group multivariate EWMA control chart

  2022cites this paper
• Model-Based Monitoring of Patient Response to Staged Thyroidectomy

  2021cites this paper
• A semiparametric stochastic mixed effects model for bivariate cyclic longitudinal data

  2020cites this paper
• Random autoregressive models: A structured overview

  2020cites this paper
• Case Studies of Autoregressive Linear Mixed Effects Models: Missing Data and Time-Dependent Covariates

  2018cites this paper
• Estimation and prediction methods for univariate and bivariate cyclic longitudinal data using a semiparametric stochastic mixed effects model

  2018cites this paper
• Multivariate Autoregressive Linear Mixed Effects Models

  2018cites this paper
• Autoregressive Linear Mixed Effects Models

  2018cites this paper
• Nonlinear Mixed Effects Models, Growth Curves, and Autoregressive Linear Mixed Effects Models

  2018cites this paper
• State Space Representations of Autoregressive Linear Mixed Effects Models

  2018cites this paper
• Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method

  2015cites this paper
• Modeling Bivariate Longitudinal Hormone Profiles by Hierarchical State Space Models

  2014cites this paper
• The impact of a cardiovascular health awareness program (CHAP) on reducing blood pressure: a prospective cohort study

  2013cites this paper
• Dose–response relationship from longitudinal data with response‐dependent dose modification using likelihood methods

  2012cites this paper
• An autoregressive linear mixed effects model for the analysis of unequally spaced longitudinal data with dose‐modification

  2012cites this paper
• State Space Representation of an Autoregressive Linear Mixed Effects Model for the Analysis of Longitudinal Data

  2008cites this paper