Response transformations in repeated measures and growth curve models
DOI10.1080/03610920008832511zbMath1018.62043OpenAlexW2018928547MaRDI QIDQ4541718
Scott K. Hyde, Unnamed Author, Robert J. Boik
Publication date: 28 July 2002
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610920008832511
likelihood ratio testFisher scoringBartlett correctionAICsphericityBox-Cox familyconditional sphericityfolded-powerlocal sphericitySMS IML
Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15) Generalized linear models (logistic models) (62J12) Analysis of variance and covariance (ANOVA) (62J10)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A note on the multivariate Box-Cox transformation to normality
- A priori tests in repeated measures designs: Effects of nonsphericity
- Estimation of a multivariate Box-Cox transformation to elliptical symmetry via the empirical characteristic function
- Testing some covariance structures under a growth curve model
- Transformations and Influential Cases in Regression
- A Note on Box-Cox Transformation Diagnostics
- Local influence in box-cox transformation for multivariate regression data
- The growth curve model: a review
- Two-Sample Asymptotically Distribution-Free Tests for Incomplete Multivariate Observations
- The Analysis of Transformed Data
- Transformations for components of variance and covariance
- The score statistic for regression transformation
- More on score tests for transformation in regression
- Prediction and Estimation of Growth Curves With Special Covariance Structures
- Varstab: a procedure for determining homoscedastic transformations of multivariate normal populations
- An Analysis of Transformations Revisited
- Analysis of Repeated Measures
- Selection of covariables in the growth curve model
- Necessary and Sufficient Conditions for F Ratios in the L × J × K Factorial Design with Two Repeated Factors
- Detection of Influential Observation in Linear Regression
- Influential Observations in Linear Regression
- A note on transforming a response variable for linearity
- Transforming a response variable for linearity
- Estimating the box-cox transformation via an artificial regression model
- Confidence intervals following Box‐Cox transformation
- More on the estimation of box-cox transformation
- Exact Inference for Growth Curves with Intraclass Correlation Structure*
- Relating the Classical Covariance Adjustment Techniques of Multivariate Growth Curve Models to Modern Univariate Mixed Effects Models
- Informative Drop-Out in Longitudinal Data Analysis
- A comparison of the box-cox transformation method and nonparametric methods for estimating quantiles in clinical data with repeated measures
- Diagnostics and Robust Estimation in Multivariate Data Transformations
- Asymptotically distribution‐free methods for the analysis of covariance structures
- Some asymptotic results on box-cox transformation methodology
- A generalized multivariate analysis of variance model useful especially for growth curve problems
- The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves
- COMPARISON BETWEEN TREATMENTS IN A REPEATED‐MEASUREMENT DESIGN: ANOVA AND MULTIVARIATE METHODS
- Conditions Under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions
- Transformations: An Introduction and a Bibliography
This page was built for publication: Response transformations in repeated measures and growth curve models