Automatic Analysis of Series of Trials Further Output

Use this to select further output following an automatic analysis of series of trials. The individual trial or the meta analysis of all trials must be selected using the Model for further output dropdown list.

Model for further output

The results are saved for the selected trial or the meta analysis. The meta analysis option will be available only if the Run a meta analysis to combine information across trials option has been chosen in the Options dialog,

Display

This specifies which items of output are to be produced by the analysis.

Model	Description of the model fitted by the analysis
Variance components	Estimates of variance parameters
Estimated effects	Estimates of regression coefficients
Predicted means	Predicted means
Stratum variances	Estimates of approximate stratum variances
Covariance model	Estimated covariance models in matrix format
Residual checks	Uses the VCHECK procedure to check the residuals for outliers and variance stability
Variance-covariance matrix	Variance-covariance matrix for the variance parameters
Deviance	The residual deviance
Wald tests	Wald Tests for fixed model terms and accompanying F-statistics
Missing value estimates	Estimates of missing values
Monitoring	Monitoring information at each iteration
Akaike information coefficient (AIC)	Akaike information coefficient to assess the random model
Schwarz information coefficient (SIC)	Schwarz information coefficient to assess the random model
Use full likelihood for AIC/SIC	The information coefficients are calculated using the full log-likelihood from the VKEEP procedure, otherwise the residual log-likelihood is used. See the VAIC procedure for details

Standard errors

Tables of means and effects are accompanied by estimates of standard errors. You can choose whether Genstat computes standard errors or standard errors of differences (SEDs) for the tables. Approximate least significant differences (LSDs) for the predicted means of the fixed terms specified in the Model terms for effects and means field can be computed by selecting LSDs. These are calculated using the approximate numbers of residual degrees of freedom printed by the analysis in the d.d.f column in the table of tests for fixed tests (produced by selecting the Wald tests display option). The LSDs will only be produced if the Predicted means option has been selected. The degrees of freedom are relevant for assessing the fixed term as a whole, and may vary over the contrasts amongst the means of the term. So the LSDs should be used with caution. If you are interested in a specific comparison, you should set up a 2-level factor to fit this explicitly in the analysis. The significance level for LSDs can be specified as a percentage (default 5) in the accompanying field.

Method for calculating F-statistics

This controls whether Wald tests for fixed effects are accompanied with approximate F statistics and corresponding numbers of residual degrees of freedom. The computations, using the method devised by Kenward & Roger (1997), can be time consuming with large or complicated models. So, the default setting automatic, can be used to allow Genstat to assess the model itself and decide automatically whether to do the computations and which method to use. The other settings allow you to control what to do yourself:

none	No F statistics are produced
algebraic	F statistics are calculated using algebraic derivatives (which may involve large matrix calculations)
numerical	F statistics are calculated using numerical derivatives (which require an extra evaluation of the mixed model equations for every variance parameter).

Model terms for effects and means

This specifies the model terms, as a formula, for which tables of means and/or effects are displayed. For covariates, the associated linear regression parameter can be printed as an effect, but predicted means are not available. Predicted means for other terms are adjusted to the mean of the covariate (but see note below). The formula can include the string ‘Constant’ to include entries for the constant term.

If no formula is specified, means or effects are produced for all the fixed model terms and none of the random terms.

Graphics

The residual plots button can be used to generate plots of residuals. For the linear mixed models and spatial models – regular grid menus an extended residual plot dialog is opened where you can plot residuals in field layout. For the spatial models – regular grid menu the Display variogram button can be used to display the residuals in a variogram.

Screening tests

The Screening tests button can be used to determine the significance of the fixed terms in the model by calculating marginal and conditional tests for these.

All subsets

The All subsets button can be used to fit all subsets of the Fixed model and select the best of these.

Multiple comparisons

This button will open the Multiple Comparisons for REML menu which lets you
request output of multiple comparison tests. This option is only available if the option Show multiple comparisons on menus has been enabled on the Tools | Options | Menus tab.