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CISIZE computes exact target probabilities of interest (including power) for any scalar parameter in a General Linear Multivariate Model with Gaussian errors and fixed predictors. This software, consisting of a single SAS IML module, focuses on sample size computations for studies aimed at estimating a confidence interval. The theory and methods are detailed in article 74.
Reliability Confidence Intervals Version 1.0
This software, consisting of a set of SAS IML ® modules, computes two estimates of reliability: intraclass correlation and Cronbach's alpha. Under the assumption of Gaussian, homogenous data with *any* covariance structure, the software gives excellent approximate confidence intervals. The exact results for the special case of compound symmetry are also available. The theory and methods are detailed in article 76.
This software, consisting of a set of SAS IML ® modules, performs power analyses for the General Linear Multivariate Model (GLMM). It allows the creation of confidence intervals around power values that reflect the uncertainty due to using estimates of variances and/or means. The theory and methods are detailed in article 31. Also see articles 33, 37, 42, and 45.
LINMOD (LINear MODels) performs a wide variety of General Linear Multivariate Model (GLMM) computations in SAS IML ® . This software is especially useful for repeated measures, complex designs, and teaching. See books 01 and 02.
MISSMOD generalizes LINMOD (above) by allowing missing data. For more information, see article 57.
Confluent Hypergeometric Function Version 1.0
This set of SAS ® modules computes the confluent hypergeometric function M(a,b,x) by five different methods. For details, see article 61.
