A Random Intercepts-Functional Slopes Model for Flexible Assessment of Susceptibility in Longitudinal Designs
From MaRDI portal
Publication:3013978
DOI10.1111/j.1541-0420.2010.01461.xzbMath1217.62163OpenAlexW2046107074WikidataQ35655236 ScholiaQ35655236MaRDI QIDQ3013978
Publication date: 19 July 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc4446058
semiparametric regressionlatent variablepenalized splineLaird-Ware modelrandom interceptsrandom slopes model
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Uses Software
Cites Work
- Unnamed Item
- Linear Mixed Models with Flexible Distributions of Random Effects for Longitudinal Data
- Random-Effects Models for Longitudinal Data
- Semiparametric regression during 2003--2007
- General design Bayesian generalized linear mixed models
- Conditional Estimation for Generalized Linear Models When Covariates Are Subject‐Specific Parameters in a Mixed Model for Longitudinal Measurements
- Separating Between- and Within-Cluster Covariate Effects by Using Conditional and Partitioning Methods
- Sampling-Based Approaches to Calculating Marginal Densities
- Semiparametric Regression
- Crossed Random Effect Models for Multiple Outcomes in a Study of Teratogenesis
- Bayesian Smoothing and Regression Splines for Measurement Error Problems
- Estimation for Polynomial Structural Equation Models
- Regression Analysis When Covariates Are Regression Parameters of a Random Effects Model for Observed Longitudinal Measurements
- Bayesian Analysis of Binary and Polychotomous Response Data
- Fixed and Random Effects Selection in Linear and Logistic Models
- Nonlinear and Nonparametric Regression and Instrumental Variables
This page was built for publication: A Random Intercepts-Functional Slopes Model for Flexible Assessment of Susceptibility in Longitudinal Designs
