SEUGI 1993 Papers - Index

78 papers. Source: SEUGI (SAS European Users Group International) conference proceedings.

#	Title ×	Authors ×	Abstract ×	Keywords ×	Extras	Pages
1	A Bayesian Analysis for Panel Based Data	Roger Owen		prior probability, posterior probability, bayesian statistics, response variable, data science	source	11
2	A Generic Data Listing System Developed for Pharmaceutical Reporting	Peter Fursdon	Listings of patient data are a vital component of regulatory submissions. Most submissions require large numbers of disparate data listings many of which are produced once only. The speed and ease of development from conceptualisation to finished product is therefore a primary clinical reporting concern. By analyzing a large number of listings a key set of characteristics have been identified over which control is most commonly required. Using SAS macro programming and windows a menu driven system has been developed that controls these fundamental characteristics and enables submission quality listings to be specified and developed in a fraction of the time required to program the same specification using `PROC REPORT` or FILE PRINT methods	clinical research, in=, dataset, proc freq, out=, sas programmer, clinical data, proc print, macro definition, proc step	source	11
3	A New Look at the Facilities in PROC MIXED	James L. Roger	The new `PROCEDURE MIXED`· is part of `SAS/STA`'f4D software in release 6.07 and later versions of the SASot System. It fits mixed linear models. These are general linear models which include both fixed effects and random effects. This paper reviews some possible applications for this new procedure. The class of mixed models allows statisticians to fit more appropriate models, in several areas of application. These models can allow more information to be extracted from data, such as in cross-over studies where there are more treatments than periods. In many cases they explain data in a way which is not possible when using the fixed effects models that are available in the `GLM` procedure, such as repeated measures data with covariates that vary across time. The `MIXED` procedure uses a new experimental SAS subsystem, the Output Delivery System (`ODS`). As a result of this philosophy, it is possible to transfer any results from the `MIXED` procedure to a SAS data set	proc mixed, proc genmod, proc glm, fixed effects, repeated measures, degrees of freedom, proc calis, longitudinal data, proc step, f-test, anova, likelihood function, regression analysis, dataset, random intercept, covariance, correlation, sample, response variable, binary variable, estimate, restricted maximum likelihood, missing value	source	12
4	A SAS Application in a Commercial Bank's EIS	Ferenc Oiti		ledger, quality assurance	source	4
5	A SAS Macro to Perform a Nonparametric Exact Test of Homogeneity for Correlated Categorical Data	Comelia Baldauf	Many studies observe response variables for each member of a group on a number of several occasions. For example, attendees of a course may be asked to express their opinion on a given issue as favourable, unfavourable or undecided. This question can be repeated, and the data recorded, after each of a series of lectures concerning the issue. To study the effect of the course, changes of opinions over time are of interest. For small sample sizes, exact methods are required. A SAS Macro has been programmed which performs an exact test for temporal homogeneity of repeated dichotomous or trichotomous data. The procedure used is a special case of a Cochran-Mantel-Haenszel test. It assumes fixed subject-by-response category marginals. An example is provided to illustrate the	sample, exact test, sample size, null hypothesis, proc freq	source	5
6	A SAS/AF Application for Local Police Forces	Martine Beullens	One of the aims of each local police force is the prevention and the criminal investigation of local crime events. "Police Statistics" are a basic-work-instrument in improving the efficiency of daily streetwork of police officers in their battle against local problems of criminality. With this purpose in mind, was -at the Universuty Center of Statistics (K. U. Leuven) - a user-friendly SASI AF application developed for registration of and basic crime analysis. This was done in cooperation with Prof. Van Kerckvoorde (Faculty of Law - criminology - K.U. Leuven), who provided an advanced study of a statistical police registration system. The PC-program was the result of a study-project done by the Ministery of Internal Affairs. The data-entry application allows the policeman to registrate the basic information of crime events. It is a program providing different steps in registration, starting with the simple street report	bar chart, proc freq, proc step, proc cport	source	10
7	Allocating Students to Courses	Sue Byrne		linear programming, dataset	source	5
8	An Efficient Report Architecture Using the SAS System or ... Why Pedal in COBOL when you can fly SAS	Robert Hellewell, Tony Oliver	Presenting useful infonnation, from large amounts of data involves writing high quality re ports. Many large development 'projects choose Cobol by default when considering their re port writing needs without realising that the SAS System provides many useful report wri ting tools. This paper describes an efficient report architecture and several useful program ming techniques which have been implemented during one of Europe's largest system deve lopment projects. Experience from this project has shown that improved accuracy and effi ciency can be achieved by adhering to programri:rlng standards and methods, resulting in gre atly reduced programming costs. Furthennore, programmers can read, review and maintain each others programmes despite having different skills' and background. The results have shown that the flexibility provided by the SAS System makes it the ideal choice for meeting a project's report writing needs	data step, format statement	source	7
9	An Executive Information System for General Hospitals	Sabine Beullens		bar chart, quality control	source	7
10	An Information Systems Breakthrough at Tesco	Ian Stimson		mis, data science	source	5
11	Analysing Multiple Response Survey Data: An Overview of Strategies and Methods	Paul E. Pope	This paper addresses the difficulties associated with analysing multiple response survey data with SASe software. Two existing strategies of analysing multiple response data are examined: the multiple dichotomy strategy and the multiple response strategy. After reviewing the existing method for implementing the multiple response strategy (contained in the SASe Applications Guide), three alternative multiple response	proc freq, proc step, frequency analysis, character variable, binary variable	source	8
12	BAVIS - the Badenia EIS	Christian Horning		data wrangling, best response	source	8
13	Building a Yield Model Using SAS Software	Peter Raymond	The Rolling Mill of Columbus Stainless processes stainless steel slabs into hot and cold rolled flat products. Process Yields, are of utmost importance and a yield model was developed in order to improve the control of losses through the Rolling Mill. The SAS@ System was used for the programming of the yield model and this paper describes the development of the model and some of the SAS techniques used in the programming. It is written from a "User" perspective and it is hoped that other SAS users may find some of the techniques helpful in their applications of the SAS System	dataset, proc sql	source	7
14	Can I have the Menu Please?	Renee Beekwilder		sas base, proc step	source	7
15	Client/Server Architectures	Tony Percy		proc sql, data validation rules, data governance, relational database	source	24
16	Conducting a Successful SAS/PH-Clinical Software Implementation	Brian Fredric, Tasha Kostantacos			source	30
17	Current and Future Developments for SAS Software Under MVS	Darlo Wiser	This paper discusses MVS specific developments in Release 6.08 of the SAS System and current research activities. The primary focus is on connectivity, interoperability, and the integration of SAS Software with other environments	decimal, sas base		3
18	Data Visualisation with SAS/INSIGHT Software	Gerhard Held	Recently interactive data analysis packages have become popular. These packages attempt to visualise the structure in multivariate data and offer a more intuitive approach to data analysis. The software is usually offered as stand alone tools for data visualisation (or graphical data analysis). However, its is desirable to extend the data visualisation approach beyond the borders of simple but efficient techniques for describing data such as identifying outliers or brushing of points in a plot. In this paper we will demonstrate how data visualisation techniques implemented in SASIINSIGHT software can be applied to analyze linear relationships of data including general linear models. We will also discuss how intermediate results can be saved for further processing	data science, proc glm, outlier	source	10
19	Delivering Financial Information with a Competitive Edge	Helen Hardenbergh, Mary Munn	The SAS System empowers ccrporate finance with the ability to use an information delivery system to access data, and to analyse and present financial information in the most timely, IICC\lIIlte and technologically advanced means available in the financial systems market today. With the introduction d Version 6 d the SAS System, SAS Institute, as well as its customers, have realised the benefits d using SAS software to integrate and consolidate financial systems. Such benefits include data accessibility, security and integrity; reduction d software, maintenance and training costs; and the ability to transform this potentially instantaneously changing data into strategic information which may be presented throUgh analytical repoos, graphs, and traffic lighting techniques. Timely, accurate, and accessible information means saving time and money because management has the information that they need to make strategic decisions. These capabilities can give your company the competitive edge		source	5
20	Economic Changes and Transport Modelling	Eric Dutrieux		correlation, proc princomp	source	12
21	EEG Multi-variate Traces Analysed Using PROC MIXED	Tracy Parker	Healthy volunteers were given a developmental psychotropic drug and placebo separated by a one week wash out period, for a within subject comparison. Electroencephalograms (EEG) were collected at a number of time points up to 8 hours after dosing, (among other pharmacodynamic parameters), by the use of 16 head leads. Four wave patterns 0, 0, a, {j (from 0.5 - 30 Hertz) were studied to determine if statistically significant pharmacologic drug effects could be detected across time. The data could be described as 3 way multi-variate (wave length, leads and time) and a number of approaches using repeated measures were applied using the volunteers as a random effect. The analysis for a linear model used various aspects of the new statistical procedure `PROC MIXED` which involves both fixed and random effects and can handle unbalanced data and heterogeneous variances	proc step, proc mixed, proc glm, compound symmetry, repeated measures, proc genmod, likelihood function, covariance, covariance structure	source	10
22	End-user Computing with the SAS System	Luc Lefever		customer segmentation, batch job, data wrangling, proc report	source	7
23	Enhanced Technical Customer Support from SAS Institute	Peter Herbertz			source	7
24	Enterprise-wide Report Writing	Georg Morsing	In this paper I hope to identify the issues surrounding delivering an enterprise-wide reporting strategy. Upon identification of the issues I hope to provide a framework for a solution to the issues by utilizing the SAS System for Information Delivery	dataset, flat file	source	3
25	Epidemiologic Concepts for Describing Disease Frequencies	Anette Pfahlberg	Two different concepts for describing disease frequencies in populations are to be dis tinguished in epidemiology: incidence (referring to the new occurrences of disease) and prevalence (describing the existing proportion of diseased subjects). Both measures of dis ease frequency are required as components in a complete epidemiologic characterization of a disease state in a population; often, however, only one of the two types of disease information is available in a given study. Then, the relationship between the two concepts becomes of interest to provide means for estimating the incidence from prevalence data or vice versa. This requires the establishment of a mathematical relation between inci dence and prevalence which depends critically on the assumptions made on the underlying structure and dynamics of the population of interest. Various approaches to this problem have been proposed in the literature	proc freq, statistical software	source	8
26	Exploratory Data Analysis Using SAS Software	Gerhard Held	This tutorial describes two environments within the SAS System for carrying out exploratory data analysis. `SAS/LAB` software provides a guided, interactive environment for users who lack an extensive statistical background. Analysis results are presented graph'icallywith interpretations, warnings about assumptions that may be violated, and suggestions for further analyses. `SAS/LAB` software focuses on basic methods commonly requested by researchers and engineers. `SAS/INSIGH`-r software provides a highly interactive graphical environment in which windows are a means of viewing and manipulating data objects. Scatter plot smoothers and numerous parametric curves with associated diagnostic plots can be displayed. Tools, palettes, and pull-down menus enable the user to further explore objects. Windows are dynamically linked so that actions on observations in one window are reflected in all windows	correlation, scatter plot, ancova, covariance, regression analysis, proc reg, proc genmod, simple linear regression, proc princomp, histogram, box plot, data science, outlier, binomial distribution, probability distribution, response variable	source	11
27	Extensions to Multivariate Descriptive Analysis	Yves Roy	Research in social sciences and marketing often needs some particular statistical methods. First of all, because the simple explanatory models that we find in "hard" sciences are lacking most of the time, but also because the difficulty of measuring theoretical concepts implies the use of ''proxy'' variables. Thus, we need methods able to synthetize great amounts of data, in a process sometimes called "soft modeling". The French School of ''Analyse des Donnees" (Data Analysis) has built many of these methods, some of them recently included in the SA~ System. The purpose of this paper is to offer a few complements, providing either an aid in interpretation of the resuits, or an extension to SAS procedures	proc step, missing value, proc corresp, proc cluster, covariance, euclidean distance, multiple correspondence analysis, correlation, mahalanobis distance, proc factor, sample, nominal variable, outlier, proc score, proc freq	source	14
28	Financial Information Management at Lego	Preben Svendssen, Soeren Hillingsborg		ledger, management reporting	source	58
29	From Executive to Enterprise Information System: The Challenge of the 90s	Ian Meiklejohn		business intelligence, proc sql, mis, management reporting	source	23
30	Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali	Michel Tenehaus	This paper deals with the study of the qualitative regression problem, in order to explain a categorical variable Y with the help of a set of categorical explanatory variables Xl,"" Xk. Two complementary approaches are presented : generalized· linear model and correspondence analysis. The generalized linear model allows to model the probability distribution of Y, or a function of this probability distribution, as a function of the variables X J, ... , Xk- Our presentation of the generalized linear model follows the `PROC CATMOD` of the SAS software. Correspondence analysis of the contingency table which crosses (X 1 X2 ... *Xk) with Y allows the visualisation of row-profiles and column-profiles. This mapping gives a concrete vision of the dispersion of the row-profiles. These two complementary methods are illustrated with a medical application : the study of a iodine diffuser to fight against goitre in Mali	anova, likelihood function, significance level, proc corresp, degrees of freedom, maximum likelihood estimation, proc princomp, predictor variable, proc freq, generalized least squares, chi-square distribution, sample, logistic distribution, regression analysis, logistic regression, probability distribution, manova, nominal variable, multiple regression, proc step, response variable, dataset, multinomial distribution, multivariate analysis	source	28
31	Graphics as a Carrier of Information	Sten Sture		loss ratio, proc freq	source	15
32	Information Delivery Systems (IDS) and the SAS System	Thomas Leitner	Diverse data sources, application needs, user requirements and computing environments can lead to barriers to information delivery. The SAS System with it's exclusive MultiVendor Architecture (MVA), has been working to break down all the barriers that stand between people and the information they need to make better, more informed decisions that will help them achieve their organisation's goals Shared Organizational Objectives We all share a number of common goals. The specific may differ and the ordering of your priorities may vary, but the goals are the same. - We all want to improve the productivity of our organizations. - We all want to reduce costs. - We're vitally interested in improving the return on our investment in people and capital. - Ensuring the quality of our products and services is a critical goal. - And for many of us, providing a fair return to our stockholders is the bottom line	data visualization, data integration	source	11
33	Integrated Safety Reporting	Anemone Thalman	Integrated Safety Reporting Anemone Thalmann elBA - GEIGY Ltd (PH3.25), Basel Most of the regulatory health authorities approving pharmaceutical products consider the Integrated Safety Summary to be an essential part of the registration dossier for human pharmaceuticals. The Integrated Safety Summaries we produce at CIBA are based on pooled data from clinical trials performed in several countries, regardless of the trial objective and design. The integrated evaluation includes all reported trials available at the moment of registration dossier compilation. In the medical department of CIBA's pharmaceutical division we recently switched from INQUIRE to ORACLE as the database systems for clinical trial data storage. The necessitiy of integrated safety reporting implies the need to standardize data from these different data sources	clinical trial, oracle, clinical research	source	10
34	Introduction to DATA Step Views	Isolde Schell-Haungs	In early versions of SAS·software. SAS programmers used `DATA STEP` programs to access data stored in external files. If the data required analytical processing from SAS procedures. users created a SAS data file. The `DATA STEP` view provides an altemate method of accessing and managing data transparently. `DATA STEP` views inherit the power and flexibHity of the `DATA STEP` with the ability to manipulate and manage data from a variety of sources including extemal files and existing SAS data files. This paper describes the input and output `DATA STEP` conceptual models, apptication uses of each type, as well as defines the creation process for each view type. A small application is used to demonstrate how one may easily convert an existing application to use `DATA STEP` views. Perfor mance issues of CPU, 1/0, elapsed time. and memory utilization are discussed together with comparison data using earlier data extrac tion methods	dataset, proc step, modify statement, proc sort	source	5
35	Management Information for Danish Hospitals	Dorte Knudsen		management reporting, mis	source	8
36	Marketing and Using the SAS System in the Computer Audit Environment	Francois van der Walt		sample, proc step, proc tabulate, beta distribution, proc freq	source	12
37	Monitoring and Managing a Corporate Supertanker	Niels Pedersen			source	6
38	Morphological Analysis Applied to Quality	Marie-Francois Doutre		proc princomp, quality control, correlation	source	11
39	NIDOK - A Data Management System for Kidney Transplant Data	Elisabeth Kyral	1) Department of medical informatics 2) Department of Surgery University of Vienna Before, during and after a kidney-transplantation a lot of data come up at different clinical departments. With our system, named NIDOK, all those data can be captured at the place they are coming from enabling at the same time all other departments to use this information as well. Furthermore the necessary data exchange with the Eurotransplant Centre in Leiden (Netherlands) that keeps an international waiting list and supports the distribution of organs is implemented. Registration for the waiting-list and all other actualisation of data in Leiden is done simultaneously with the entry of the data and carried out by the system itself. Moreover it is possible to extract data for scientific analysis. The system was introduced in March 1993 and was welcomed by staff at all levels. It proofed to be able to decrease workload sensibly. Additionally it brougth on a big improvement in data quality	proc sql, data cleaning	source	6
40	Non standard Graphical Representation of Clinical Data	David Granger	In the course of this paper I propose to demonstrate how Parexel International Limited use `SAS/GRAPH` software to obtain some unusual graphical displays of clinical data	standard deviation, proc means, proc gplot	source	11
41	Nonparametric Tests of Independence and Dispersion Extensions to a Collection of SAS Macros for Exact Nonparametrics	Lars Pralle		sample, sample size, response variable, dataset, wilcoxon signed-rank, post hoc test, parametric test, rank test	source	9
42	Performance Issues to Consider When Migrating Production Jobs from Version 5 to Version 6 of the SAS System under MVS	Chris Luckman	This paper deals with performance issues when migrating production jobs from Version 5 to Ver sion 6 of the SAS@ System under MVS. Due to the significant differences between the archi tectures of Version 6 and Version 5 of the SAS System, the user might experience performance degradation/improvement when migrating some jobs to Version 6 of the SAS System. Spe cific areas to consider are formats and informats, macro processing, SAS `DATA STEP`, and so on. This paper will try to highlight some of the known performance problem and improvement areas. It also suggests possible workarounds or alternate	dataset, proc step, proc format, macro variable, proc means, symbol table, &variable, macro facility	source	5
43	Presentation of Study Results Histograms with Confidence Intervals	Elke Dieterich	Presentation: Elke Dietrich Stefan GroS Heinz-Otto Keinecke Harald Kwasny - Behringwerke AG - Bebringwerke AG - Behringwerke AG - Bebringwerke AG The SAS Macro CIRCLES (PC DOS, Release 6.04) produces a graph which allows both comparison of two populations (e.g. two treatment groups) and presentation of the individual	sample, normal distribution	source	7
44	Producing Training Materials in Support of SAS Software Using SAS/AF Software	Ian Cantley	This paper describes the development of a set of training materials to support the use of the SAS System in basic statistical analysis. The initial package consists of two modules, the fIrst providing a basic introduction to the SAS System, whereas the second focuses on using the SAS System to generate descriptive statistics and the interpretation of these statistics. The materials have been developed with reference to Version 6.04 of the SAS System running on an MS-DOS based platform, and each module consists of a computer-based tutorial (CBT), implemented using Version 6.04 of SAS/~ for the PC, together with supporting documentation and student workbooks. The paper begins by describing briefly the background to the project and the subject matter covered by the materials, and proceeds to describe the principal CBT design considerations and specifIc details of the SAS/ AF features employed in implementing the CBTs	macro variable, proc step, dataset, catalog, elapsed time, data science	source	15
45	Quality and Security of Clinical Data under the SAS System	Ketil Eidsaunet		clinical data, clinical trial, dataset, pharmaceutical industry, quality control, proc step	source	5
46	Regional Health Profiles A Description of Health Status in the 64 Public Health Service	Bennie M. Bloemberg		proc step, macro facility	source	4
47	Running Version 6 of the SAS System Under the VSE/ESA Operating System	Jan Klaverstijn	In the past few years, IBM Corporation has significantly extended and enhanced the VSE operating system. The SAS System has also grown and matured with Release 6.08. With the addition of new functionality and the removal of old limitations, Release 6.08 of the SAS System under the VSE operating system is more flexible and powerful than ever before. This paper overviews the implementation of the SAS System under VSE, especially VSElESA .... Emphasis is on those enhancements unique to the VSE operating system with some discussion of more generalized aspects of the SAS System	sas library, batch job, sas batch, sample, sas base, dataset, options statement	source	6
48	SAS Macros for Comparisons with Multiple Endpoints	Thomas Bregenzer		sample, treatment effect	source	7
49	SAS/ENGLISH Software for Information Delivery	Jackie Pope, Steve Morton	SASlENGLlSH software allows you to ask questions about your data in plain English and view the answers to your questions in a variety of ways. Building a `SAS/ENGLISH` application requires you to create a Knowledge Base that describes the data. This article recounts our experiences in setting up a Knowledge Base for a `SAS/ENGLISH` application to aid the Managed Care Programs of Pennsylvania Blue Shield	sample, relational database	source	5
50	SAS/FSP Software and Batch Working Side by Side with SAS/SHARE Software or ... SAS/FSP and Batch in a Walk on the Wilde Side with SASSHARE Software	Peter Fitzgerald		proc step, batch job	source	11
51	SAS/GIS Software	Ulrike Scheuble	`SAS/GIS` Software is a new part of the SAS System to be available as a Version 6.09 add-on. As more and more data becomes available to enterprises, new tools are needed to make sense of this massive amount of information. `SAS/GIS` Software is a tool for handling spatially related data. The data importing, querying, analysis, and display will be covered as well as the stroJlg connection to the rest of the SAS System	where statement, data governance	source	5
52	Simulation Models for Business Planning and Economic Forecasting	Liza Evans	Simulation models are useful in many diverse fields. This paper illustrates the use of the SASIETS `MODEL` procedure with exam ples of a business planning model and a macro econometric fore casting model. In addition, several new features of the MODEL pro cedure are introduced. Topics discussed include: nonlinear and simultaneous relationships; estimation of unknown model parame ters; dynamic processes; goal-seeking solutions; and Monte Carlo simulation to construct confidence bounds	proc model, estimate, proc step, monte carlo, proc gplot, confidence interval, covariance, proc nlin	source	7
53	Support of Statistical Consulting Using SAS Software	Hans-Peter Altenburg	In the paper is demonstrated how one can use the SAS software system to support the statistical consulting in a university department, especially in the clinical medicine. Many of the the client-statistician dialogs fail because the clientele have a varying statistical background, and the consulting process turns out to be more difficult with people having minimal statistical backgrounds along with mathematical or computer phobias. In view of possible problems appearing in this direction a dialog oriented method base has been developed that is based on SAS software, which supports the solution of standard statistical problems in clinical and experimental medicine without user writ en SAS programs. The paper tries to describe this system and the procedures available. o Introduction Statistical consulting in a university department can be defined as the collaboration of a statistician with another professional for the purpose of devising solution to research problems	confidence interval, sample, sample size, binomial distribution, proc reg, normal distribution, randomization, regression analysis, proc step, probability distribution, sas output, null hypothesis, dataset, proc freq, relative risk, statistic, anova, poisson distribution, proc robustreg	source	11
54	Techniques for Combining SAS Data Sets	Tor Bengtsson		proc append, proc step	source	11
55	The Analysis of Repeated Measures Designs Using the SAS System	Alun Bedding		proc step, proc glm, proc mixed, proc genmod, repeated measures, sample, auc, missing value, degrees of freedom, treatment effect, sample size, proc means, likelihood function, covariance, odds ratio, longitudinal data, maximum likelihood estimation, correlation, significance level	source	9
56	The Closed Test Procedure	Hans Ulrich Burger		proc step, null hypothesis, proc glm, type i error, significance level, proc genmod, post hoc test, class variable, kruskal-wallis test, multiplicity, sample size, sample, proc sql	source	13
57	The Information System for Tariff Policy Impact Analysis and for the Reconstruction of Intersectorial Tables in the Italian Economy	Fernando Mattei, Tonino Leda			source	16
58	The Nuclear Electric Equipment Database System	Julian Stevens	The Nuclear Electric Equip~ent Database System (NEEDS) is a SAS software application running under VH/CKS which keeps a register of all the company's computer hardware. This facilitates the management of cost-efficient bulk maintenance contracts. NEEDS uses `SAS/AF` programs, `SAS/FSP` FSEDIT screens and extended tables to enable equipment coordinators to add, transfer, receive or dispose of equipment on the database. Users make changes to a copy of the main dataset and, on quitting NEEDS, these changes are sent as transaction datasets to a VM service machine. This machine checks the validity of the transactions, updates the main dataset accordingly, and sends the originator a transaction report indicating whether the changes were applied successfully	data cleaning, where statement	source	14
59	The SAS System - Strategic Software for the Future in the Hungarian Central Statistical Office	Eva Papp		data science, data cleaning	source	5
60	The SAS System for OpenVMS Migrating from VAX to RISC Architecture	Thomas J. R. Emmerich	The availability of the OpenVMS RISC hardware platform and OpenVMS means users have Increased price/performance available for using the SAS' System for VMS. This paper discusses technical differences between the RISC and VAX implementations of OpenVMS that will affect VMS users involving system configuration and tuning for use of the SAS System. It also discusses operational issues of sharing SAS data and applications between traditional VAX and RISC implementations of OpenVMS	dataset, variable, decimal, missing value	source	5
61	The SAS System in Dental Clinical Trials	Paul Jones	unilever Research is the science behind one of the world's largest manufacturers of personal oral health care products. The testing of anti-caries toothpastes culminates in large scale clinical trials designed to demonstrate their effectiveness. SAS was chosen as the software to administer, store and analyze the data from such a trial which involved over 4000 subjects for three years and over 2.5 million data points. During the trial the system evolved from a basic version written in SAS 5.18 to a fully fledged user friendly system using many of the features of SAS 6.06 in the VMS environment. The paper will review how SCL has allowed the user interface to develop, and illustrate how to move SAS applications from the arena of the computer specialist to the novice user. A number of examples will demonstrate the changes made possible as SAS developed and will include showing elements of a system currently in use in one of our clinical trials	clinical trial, data cleaning, clinical data, macro variable, adverse events	source	10
62	Trends in EIS	Burhard Lehmann		flat file, quality control	source	10
63	Tuning Tips for Applications That Use SAS/SHARE Software	Carlo Grandi	The SAS System has many tuning options, most of which are left at their default values. When an application accesses data through a SAS server, sometimes the default values provide adequate performance and sometimes they do not. The SAS System is delivered to you properly tuned for a "typical" application that uses `SAS/SHARE` software. SAS Institute makes some assumptions about the kind of processing that is going to take place In a "typical" application. Recognizing that your application may not be "typical" , the SAS System supplies tuning options that you can use to override default behavior. This paper discusses programming techniques and option value adjustments that you can use to improve the performance of your applications that access data through SAS servers. The information In this paper is the result of tuning several large applications that are in use at SAS Institute	dataset, where statement, catalog, catalog entry, proc step	source	10
64	Use of PROC NETDRAW to Simplify SAS/AF Screenflow and SAS/AF Documentation	Dieter Fasler		proc step, filtering	source	3
65	User Experience in Designing and Implementing a CICS Performance Monitoring Application Using the SAS System	Ercument Ulguner		sas base, sample, data science	source	17
66	User-friendly Database Access with the SAS System	Edit Maztenyi		dataset, data wrangling	source	12
67	Using LINK, MACRO or METHOD in your SAS/AF Application	Veronica Walgamotte		sas library, conditional do loop, sas base, proc step, macro definition	source	5
68	Using PROC CATMOD in the Determination of Clients' Profiles in a Bank	Jean-Philippe Scholler		proc step, logistic regression	source	13
69	Using SAS/AF Software to Produce Support Materials for Statistics - a Case Study from Higher Education	Noel Wilson	Noel Wilson and Sally McClean University of Ulster, Northern Ireland This Paper describes the educational and project management aspects of a computer-based tutorials (CBTs) development project in support of SAS statistical software. Design considerations associated with the CBTs are described in detail and the background to the project is also outlined. Development work was undertaken in close collaboration with SAS (UK) personnel, who provided important technical and quality audit input to the project; relevant features of this development partnership are also documented	statistical software, resource allocation	source	11
70	Using the SAS System for COSINOR Analysis of 24 Hour Ambulatory Blood Pressure Monitoring (ABPM) Data	Roberto Ferrara		sample, confidence interval, proc step, clinical trial	source	13
71	Using the SAS System in an Open Computer Environment Assisted Learning Environment	Olli Hamaiainen	This paper describes an open computer assisted learning environment based on SAS@ software for Windows. Many features of the SAS system make it suitable for an environment where both demonstrations and independent computing is needed. The aim of the course is to teach basic skills of data analysis, statistics and statistical computing for research scientists starting their work in a technical research centre~ The learning environment consists of computer based lectures, tools for statistical computation and human teacher interaction through electronic mail. The course has been designed with a certain learning process in mind, but it is open in the Sense that the user is not forced to follow a ftxed program	degrees of freedom, alternative hypothesis	source	6
72	Using the SAS System within SWEB's Commerical Division	Mark Owen		mis, demand forecasting	source	4
73	Variable Selection Techniques Implemented in Procedures of SAS Software	Olaf Gefeller	* In Different variable selection techniques are often employed in practical data analysis as part of the statistical modelling process to reduce the number of variables to be included in a 'final' analysis of the relationship under study. For example, in regression-type ap plications of these techniques it is the goal to obtain a final model fitting appropriately the observed data which should (i) lead to stable estimates of the model parameters, (ii) predict accurately future values of the dependent variable based on the knowledge of all explanatory variables in the model, and (iii) allow a comprehensible interpretation of the relationship under investigation. The paper describes briefly several popular variable selection techniques in different statistical contexts and looks for their implementation in procedures of the SAS software	feature selection, predictor variable, regression analysis, backward selection, best subsets, forward selection, proc step, data science, significance level, stepwise selection, automatic variable, estimate, proc logistic, proc phreg, logistic distribution, proc reg, correlation, response variable	source	9
74	Verification of National Character Support in the SAS System	Anders Skollermo	The original intention with this poster was to make a general investigation· of the National Character supfX)rt in the SAS System, version 6.06 or higher. It soon turned out that that was not possible. We are limited to MVS SAS and OS/2 SAS, since it is necessary to test every part carefully. Besides it is only possible to test the National Characters in the language supported by your current oomputer installations. A third problem is the con~ 'National Character'. We have here confined the discussion to the prImary SWedish National Characters .AAOaa.o. The characters E6 are also included in sane places. Many IIDre characters, (e.g. ti, ii, !, par~aph etc.) which are used in the SWedish language, may be of interest J..n the long run. Another problem is to confine this \VOrk. We have concentrated. the investi<}ition to those National Characters that are carmon in user text and/or J..n the· SAS programning stat.errents	proc step, dataset, catalog, proc cport, proc upload, label statement, proc cimport, proc sql, by group processing, macro variable	source	13
75	VSB Bank's Customer Information System	Ries Visser, Victor Bos		current account, savings account	source	9
76	White Scan: Whiter than White in 3D	Jurgen Rauber	The White Scan system takes the findings of laboratory tests (e.g. for whitening agents) and presents the results in the form of three-dimensional SAS graphs. These compare the products with competitive products and are used by the sales force as computer-assisted promotion. The application was developed by Ciba SAS Support at the request of end users, who wanted to achieve a considerable simplification of the previous complicated multi-stage process. The `SAS/AF` application runs online on an mM host under MVS and SAS 6.07. The use of `SAS/SHARE` enables several users to use the application simultaneously. The graphic output to the plotter is produced by a batch job over the Internal Reader. The submission of the batch job to produce the graphics on the plotter can be initiated online by a single keypress or mouse click. White Scan: Whiter Than White - in 3D Some of you may have already heard of the Ciba company	batch job, regression analysis	source	8
77	Why Choose the SAS System on a PC? - The User's View	Carlo Wells		sas consultant, sas programmer	source	5
78	Why Should You Make Your Own ASSIST? - Using SCL in Release 6.07 of the SAS System	Johannes Thomsen		proc step, sas output	source	7

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