###
1 Guido’s Guide to *PROC* MEANS – A Tutorial for Beginners Using

"... PROC MEANS is a basic procedure within BASE SAS ® used primarily for answering questions about quantities (How much?, What is the average?, What is the total?, etc.) It is the procedure that I use second only to PROC FREQ in both data management and basic data analysis. PROC MEANS can also be used t ..."

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*PROC*MEANS is a basic procedure within BASE SAS ® used primarily for answering questions about quantities (How much?, What is the average?, What is the total?, etc.) It is the procedure that I use second only to

*PROC*

*FREQ*in both data management and basic data analysis.

*PROC*MEANS can also be used

### Answering Your Questions with Statistics

"... Organizing a project, planning your strategies, and executing statistical procedures to examine/analyze data are essential for answering your questions. A guide to determine appropriate statistical tests given a list of questions will be discussed in this presentation. Statistics range from the simp ..."

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the simple (e.g., frequencies with

*PROC**FREQ*, means with*PROC*MEANS) to the complex (e.g., confirmatory factor analysis with*PROC*CALIS).### Disk Space Management Topics for SAS R© in the SolarisTM Operating Environment

"... Adding disk space to Sun R©enterprise servers has become a relatively inexpensive solution. Still, these gigabytes and terabytes are finite and must be managed. I address two related topics, file compression and reporting disk space usage BY user. First, I describe a Kornshell script that calls sed, ..."

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three types of test SAS data sets but minimized file size when SAS COMPRESS=NO. Using ten replicates, I also measured the CPU time required to run

*PROC**FREQ*on one character variable from each test data set compressed the three different ways with SAS. As expected,*PROC**FREQ*executed most quickly on SAS### Calculation of the Kappa Statistic for Inter-rater Reliability: The Case Where Raters Can Select Multiple Responses from a Large Number of Categories

"... A common measure of rater agreement where outcomes are nominal is the kappa statistic (a chance-corrected measure of agreement). You can use PROC FREQ to calculate the kappa statistic, but only if the given frequency table is square (that is, raters used the same categories). In most rater analyses ..."

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A common measure of rater agreement where outcomes are nominal is the kappa statistic (a chance-corrected measure of agreement). You can use

*PROC**FREQ*to calculate the kappa statistic, but only if the given frequency table is square (that is, raters used the same categories). In most rater analyses### Jeffreys Interval for One-Sample Proportion with SAS/STAT ® Software

"... ABSTRACT This paper introduces Jeffreys interval for one-sample proportion using SAS ® software. It compares the credible interval from a Bayesian approach with the confidence interval from a frequentist approach. Different ways to calculate the Jeffreys interval are presented using PROC FREQ, the ..."

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ABSTRACT This paper introduces Jeffreys interval for one-sample proportion using SAS ® software. It compares the credible interval from a Bayesian approach with the confidence interval from a frequentist approach. Different ways to calculate the Jeffreys interval are presented using

*PROC**FREQ*### SAS ® Fundamentals For Survey Data Processing

"... This paper offers several programming solutions to problems and challenges that commonly confront survey researchers. Arrays and Do Loops are presented as methods for handling data cleaning and transforming. Proc FREQ, TABULATE, and MEANS are demonstrated for elementary analyses. Lastly, formatting ..."

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This paper offers several programming solutions to problems and challenges that commonly confront survey researchers. Arrays and Do Loops are presented as methods for handling data cleaning and transforming.

*Proc**FREQ*, TABULATE, and MEANS are demonstrated for elementary analyses. Lastly, formatting### Demystifying Popular SAS Procedures

"... SAS procedures are the workhorse of the SAS programming language; therefore, a comprehensive understanding of the basic PROC statements is crucial when analyzing and visualizing SAS data. This presentation will highlight the basic SAS procedures that 1) create, manage, and display SAS data (e.g., PR ..."

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.g.,

*PROC*IMPORT,*PROC*EXPORT,*PROC*CONTENTS,*PROC*PRINT,*PROC*SORT); 2) perform univariate, bivariate, and multivariate analyses (e.g.,*PROC**FREQ*,*PROC*UNIVARIATE,*PROC*MEANS,*PROC*LOGISTIC); and/or 3) generate tables and figures (e.g., ,*PROC*CHART,*PROC*TABULATE). In addition, this session will include### Keywords:

"... Automatically generating customized tables by using the SAS ® System is more reliable and efficient, particularly, when the tables need to be submitted periodically in report systems. An example SAS program using SAS/BASE and MACRO modules to create a comprehensive summary table is presented. The SA ..."

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. The SAS program may be run on all SAS platforms. The SAS program features the INTCK and INTNX functions,

*PROC**FREQ*, and*PROC*TABULATE to create monthly reports that summarized weekly activities in the Department of Health Services. A SAS macro program is also described to add flexibility### Paper SP05 Cochran-Armitage Trend Test Using SAS

"... In clinical trials, a dose response study is often conducted to investigate the relationship between increasing dosage and the effect of the drug under study. The Cochran-Armitage trend test is commonly used to study the underlying trend. This paper summarizes various SAS ® procedures, including PRO ..."

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*PROC*

*FREQ*,

*PROC*MULTTEST, and

*PROC*LOGISTIC, which perform the trend test when the response is binary. Variations of Cochran-Armitage trend test, including asymptotic test, exact permutation test, monte carlo (permutation) resampling adjusted test, and bootstrap resampling adjusted test are discussed