Randy Tobias

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SAS/STAT software provides many powerful methods to fit general linear models with complicated effects. Some SAS/STAT procedures also enable you to estimate, test, compare, or plot functions of the estimated parameters. Such postprocessing can be as straightforward as predicting responses for given observations, or as complex as plotting(More)
Confirmatory bioassay experiments take place in late stages of the drug discovery process when a small number of compounds have to be compared with respect to their properties. As the cost of the observations may differ considerably, the design problem is well specified by the cost of compound used rather than by the number of observations. We show that(More)
In many SAS/STAT ® modeling procedures, the CONTRAST and ESTIMATE statements enable a variety of custom hypothesis tests, but using these statements correctly is often challenging. The new LSMESTIMATE statement, available in ten procedures in SAS/STAT 9.22 software, greatly simplifies the use of these statements. The LSMESTIMATE statement enables you to(More)
Linear models relate a response to a linear function of a design matrix X. General linear models, long available in standard SAS/STAT ® 9.3 procedures such as GLM and MIXED, incorporate classification, interaction, and crossproduct effects to define X. The new EFFECT statement, which is available in many SAS/STAT 9.3 procedures, extends how you can define(More)
PROC TTEST is an old reliable among SAS/STAT procedures, testing hypotheses about means of one and two normal samples. While this is a narrow class of analyses, it's an important class, with key applications in all areas of science, including clinical trials. Recent updates to the TTEST procedure make it an even more powerful tool for the statistician. The(More)
Version 9 of SAS/STAT software brings you a variety of new tools for your statistical computing needs. The Power and Sample Size Application (PSS) provides sample size and power computations for a variety of analyses through a web interface. Experimental software in Version 9 moves SAS/STAT in new directions , including robust regression, which is supported(More)
Introduction Parallel computation allows large data processing tasks critical for science, business, and industry to be accomplished in a fraction of the usual time. The new MP CONNECT tools in SAS/CONNECT software enable you to perform parallel computation by coordinating the data processing power of the SAS System running simultaneously on multiple(More)
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