5V – Unbalanced Repeated Measures Models with Structured Covariance Matrices

Unbalanced Repeated Measures Models with Structured Covariance Matrices using BMDP Statistical Software Program 5V

5V analyzes repeated measures data for many designs including those with unequal variances, covariance matrices with a specific pattern, and incomplete data. Maximum likelihood (ML) or restricted maximum likelihood (REML) is used to compute estimates of the regression and covariance parameters. 5V provides more choice of the covariance structure than found in 2V, 3V or 4V.

• Fits models to incomplete or unbalanced data using maximum likelihood or restricted ML
• Allows a choice of covariance structures
• Allows fixed or time-dependent covariates
• Regression or ANOVA type contrasts
• Estimate and test any linear combination of parameters with user-specified Wald tests
• Asymptotic Wald-type chi-square tests for regression model terms
• Imputed values of missing responses
• Predicted means, standard errors of predicted means, residuals and thier standard errors, standardized residuals
• View Program BMDP Program 5V Manual Chapter