SEUGI 1992 Papers - Index

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

#	Title ×	Authors ×	Abstract ×	Keywords ×	Extras	Pages
1	A SAS/AF Application for Data Samples Analysis	Gianni Grippa	Statistical analysis of data samples can results in a complex job when great amount of data are involved and their spatial and temporal structure have to be considered. A tipical example are the transport and diffusion mathematical models outputs. Using `SAS/AF` and the macro processing technique is possible to develope interactive applications, based on `SAS/STAT` and `SAS/GRAPH`* modules, suited for these analysis. STEP (STatistical Evaluation Procedure) is one of these applications oriented towards atmospherical models validation. The procedure give the user an appropriate set of statistical indicators to performe a complete intercomparison between model outputs and experimental data or other model results. Fill in blank menus permit the user to allocate input data sets and graphic catalogeus and to choose the statistical indicators to use; all the results are shown graphically	sample, scatter plot, data sampling, confidence interval, model validation, correlation, data cleaning	source	11
2	Accessing Data in a Distributed Database Environment Using SAS/ACCESS Software	Bengt Bengtsson	The growth of distributed computing environments that use more than one database management system (DBMS) and more than one operating system has made interoperability among data, software and hardware resources increasingly important. Using features of the SAS System as tools to access and analyze these data across the network can make this interoperability possible. There are three types of software tha:t can be used to build a distributed application. First, `SAS/ACCESS` software allows SAS users to access data in numerous database management systems on a variety of hardware platforms. Second, many database management systems offer transparent distributed access support for remote databases, And, third, SASICONNECTTM software offers SAS users connectivity between SAS sessions and numerous operating systems and hardware configurations. This paper describes a distributed SAS application that utilizes these three types of software in a distributed environment	oracle, select, oracle access, dataset, proc download, proc step, proc sql, proc print, bar chart, data step	source	10
3	An Application Using the SAS System to Perform Williams' Test in Toxicity Studies	Paolo Fina	A menu-driven user-friendlr procedure was created using `SAS/FSP`* to perform parametric and non-parametric WJ.lliams' test. This test. is used in toxicity studies regarding the comparison of dose treatment means with a control mean,to determine the lowest dose at which there is statistical evidence of an effect. Williams' test is generally more powerful than the usually performed Dunnett's test and takes some account of the dependence of response on dose. Input data consist of SAS data sets; direct input of means,sample sizes and root mean square error is only allowed using the parametric version. A low level of knowledge of SAS System is sufficient to obtain SAS data sets in accordance with the required structure. Significance is declared comparing test's values with critical values reported by Williams (two-tailed test a=O.OS). An algorithm to compute p-values is available too. Results are presented on screen and recorded in SAS data sets to allow further elaborations	sample size, sample, dose, dataset, degrees of freedom, rmse, mse, dunnett test, parametric test, proc step	source	9
4	Analysing Business and Economic Data with SAS/ETS Software	Georg Morsing	This paper discusses analyzing business and economic data with `SAS/ETS` software. The paper surveys some of the different kinds of data analysis problems found with business and economic data, and the need for special data analysis methods for these kinds of problems. The paper discusses the tools SASIETS· software pro vides to meet these needs	time series analysis, proc step, regression analysis, proc arima, time series data, data science, response variable, seasonal adjustment, seasonality, proc autoreg, predictor variable, proc forecast, proc freq, correlation, output delivery system	source	9
5	Automatic Forecasting Menu System	Joachim Hefner	The Forecast menu system makes it easy to produce forecasts of future values of time series variables. This demonstration of the Forecast menu system shows how to use the system and provides an overview of its features. Automatic selection of the best forecasting model for a variable and customising the automatic model selection process will be shown. The demonstration also shows how to enter your own forecasting model, compare the different forecasting methods and use the system for the Box-Jenkins approach to forecasting model development	feature selection, mse, time series analysis, proc esm, series plot	source	11
6	Basic Problems of Analysing Disease Data in Epidemiologic Applications	Anette Pfahlberg	The basic distinction in the epidemiologic characterization of the disease state of individuals refers to whether incidence or prevalence data are obtained. Any statistical analysis of disease data in epidemiologic applications has to distinguish between these types of data as the epidemiologic interpretation of the results of the analysis depends on it. This fundamental issue is ignored in statistical software packages (including SAS). This paper describes the problem by explaining the differences and the connection between prevalence and incidence. The expressions for capturing the relationship between incidence and prevalence are visualized by various graphics conveying an idea about the consequences when using prevalence instead of incidence data (and vice versa). Finally, practical implications of the findings are discussed. Keywords: epidemiologic methods, incidence, measures of association, prevalence	data science, proc step, statistical software, proc freq	source	7
7	Bipeptidic Matrix Clustering	B. Pflugfelder, E. Ferran		proc princomp, proc step, raw data, uniform distribution	source	31
8	Building an EIS Using the SAS System and OS/2	Reis Visser		output delivery system, savings account, current account	source	21
9	Cluster Characterisation wit the SAS System Factorial Analysis Solves the Problem of Synthesis Data and hte Typology of Clustering Method	Christian Derquenne		proc freq, nominal variable, dataset, significance level, degrees of freedom, predictor variable, logistic regression, standard deviation, normal distribution, macro definition	source	17
10	Comparing Splines and Kriging Using SAS/GRAPH Software as an Agronomical Application	A. Castrignano, F. Caspalino, L. Romito, V. Zupa		sample, moving average	source	11
11	Competitive Advantage	Tom Egelund			source	18
12	Corporate Data: Bringing Together the Islands of Information with SAS/ACCESS Software	Emily P. Wallace	Since many companies have more than one database management system, an important concern is how to bring together the data from these islands of information in the most efficient and effective man ner. `SAS/ACCESS` software provides a transparent link to your database software. These interfaces allow everyone in the company from end users to the database administrators to use the tools that suit their activities to reach the database data and to perform their analysis, reporting, or querying functions. This paper examines the ways that `SAS/ACCESS` software integrates into SAse applications to deliver database information transparently	dataset, proc step, proc sql, select	source	4
13	Data Analysis and Storage Using the SAS System at JET, the Joint European Torus	Knud Thomsen		proc step, dataset, proc reg, regression analysis, proc princomp, proc gplot, raw data, proc freq, proc means, covariance, macro variable	source	16
14	DATA Step Changes and Enhancements	Bent Sorenson		dataset, modify statement, do loop, output, by group processing, master data management, set statement, proc step, composite key, select, proc sort, leave, sample, proc print	source	6
15	Data Step Performance and I/O Improvements in Release 6.07	Sarah Bell	Presented at SEUGI '92 by Sarah Bell, SAS Institute	cpu time, dataset, missing value, input statement, update statement	source	9
16	DATA Step Views	Isolde Schell-Haungs	Traditionaly, SAS-softw .. programmers used the `DATA STEP` to extract data from external files in order to store the data in SAS data sets for subsequent use by SAS procedures. The `DATA STEP` view provides an alternative method of ac:casSing and managing data transparently. `DATA STEP` views inherit the power and flexibilty of the `DATA STEP`, with the abity to manipulate and manage data from a variety of sources including external files and existing SAS data files. This paper describes the input and output `DATA STEP` view conceptual models, the application uses of each type, the definition process for each view type, restrictions and requirements. and extensions to the `DATA STEP` language to support `DATA STEP` views. Performance issues of CPU, 110, elapsed time , and memory utiliza tion are discussed with comparisons to earlier data extraction meth· `ODS`. More detailed examples and discussion are provided to demonstrate the more complex uses of `DATA STEP` views	dataset, sample, proc step, modify statement, proc sort, proc print	source	6
17	Database Features Extend the Scope of SAS/SHARE Software	Colin J. Harris	The role of `SAS/SHARE`@ software in the SAS@ System is being expanded to include major database features useful in both single- and multi user applications. Such features include integrity constraints (the specification of data validation criteria for all data inserted/added to a data set) and an audit trail (the ability to keep track of which users updated what observations and when they did it). The audit trail can optionally be used to reconstruct a data set from an archive copy	audit trail, constraint, key, proc sql, dataset, proc step, data cleaning, create table, foreign key, where statement, missing value	source	6
18	Development of a SAS/DB2 Business Application	Paul Soormans, W. Peters	When combining the enhancements of SASI ACCESS· and SASI AJt in SAS 6.06 it is possible to develop business applications using SAS software (instead of COBOL or FORTRAN) with DB2- as database management system. This paper discusses our experiences with the development of a multi-user `SAS/DB2` business application concerning the control and registration of all hard- and software in a large industrial organisation. Our experiences with SASI AF were very positive, especially because it was possible to build a structured and very user-friendly application in a short period of time. The 6.06 DB2 interface gave a number of serious problems. The problems were concerning the referential integrity used in DB2, locking, COMMIT/ROLLBACK and performance. With workarounds we were able to solve the problems. In SAS 6.07 enhancements to SASI ACCESS Software will address some off these problems. This paper ends with a discussion of the solutions implemented in SAS 6.07	data integrity, dataset	source	13
19	Development of Information System/LIS in the Norwegian Dairies Association	Beret Mette Haga		mis, management reporting	source	11
20	Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software	Rainer Muche		proc step, regression analysis, logistic distribution, proc reg, logistic regression, anova, proc logistic, proc genmod, proc glm, degrees of freedom, proc calis, likelihood function	source	10
21	EIS in the Slovenian Ministry of Internal Affairs	Bogo Brvar, D. Kricej		mis, management reporting	source	11
22	End-User Reporting Deliver More Information Sooner	Dario Wiser	The SAse System provides a wide array of reporting tools. The `SAS/ASSISR` report button and the `REPORT` procedure offer both ease of use and powerful functionality. The information delivery strategies described here include exception reporting, drill down, and links to graphical charts using the `REPORT` procedure	proc report, proc step, if-then-else, catalog entry, proc tabulate, bar chart	source	9
23	Experience of Developing a Client-Server Application to be Implemented in 60 Industrial Sites of a Multinational Swiss Group	Jacques Bachelart		where statement, proc report	source	10
24	Experiences from Using the SAS System in a Large Consumption Simulation Study	Timo Alanko		sample, standard deviation, proc freq, monte carlo, sample size, cv, normal distribution, proc step, proc means, gamma distribution, poisson distribution	source	11
25	Exploiting VMS-Specific Features of Release 6.07 of the SAS System	Graham Ritchie		proc sql, dataset, proc step, data dictionary, distributed processing	source	14
26	Facilitating Standard Jobs in Clinical Trials	Charlotte Stoltz		clinical trial, proc step, macro definition	source	17
27	Financial Economic Modelling with the SAS System	Wim Mallon			source	4
28	Frequency Management and Scheduling at Radio Free EuropeRadio Liberty International Broadcasting with the Help of Adabas and the SAS System	Duncan Kinchen		proc freq, data cleaning	source	8
29	Generation Gap From 3rd to 4th Generation in an Insurance Company	Markku V. Suni	SAS was acquired by Sampo Insurance Company Limited nearly three years ago. We wanted to alleviate the problems we were facing in com puter performance evaluation, computer usage accounting, reading in formation from our production databases, and finally, the problems in reporting. We had large amounts of information stored electronically, very complicated file and record structures, many dependencies, trans action processing systems, and very heavy production runs for mass production. Realizing our heavy dependence on information we should be able to use the information we already have in more productive ways than before. We need many new reports and report types, also ad hoc reports. How could those needs be met? It seems that SAS has been received well in this company. SAS of fers a number of advantages, especially compared with the 3rd genera tion languages. However we learned of some disadvantages also. SAS glitters, but is not pure gold	insurer, production run	source	9
30	Getting the Most out of CMS with the SAS System	Robert Owen	Data access is improved in Release 6.07 of the SAS System for the IBM CMS operating system with `SAS/SHARE` and `SAS/CONNECT` software, as well as access to VSAM and VSE files. Data management is improved with the provision of the TAPECOPY and TAPELABEL procedures. Data presentation and data analysis are extended with further enhancements to support IBM 3270 devices. These features, along with the new interface to the SAA REXX interpreter, performance improvements, and tips for tuning will help your productivity using the SAS System	dataset, where statement, libname statement, proc step, catalog, catalog entry, proc sql, macro facility	source	10
31	Guided Data Analysis with SAS/LAB Software	Gerhard Held	`SAS/LABTM` software is a data analysis advisor for engineers and scientists who lack an extensive statis tical background. The software is implemented as a menu system, making it very easy to learn and use. As an analysis proceeds, the software explains and in terprets the results, makes suggestions for further anal ysis, and issues warnings about violated assumptions. It also provides convenient methods for converting raw data to a usable form, producing graphical display of	data visualization, anova, dataset, outlier, character variable, response variable, scatter plot, data science, homoscedasticity, main effect, regression analysis	source	7
32	Improve Speed and Quality in Clinical Trial Analysis Using SAS Macros	Mark de Somer		clinical trial, clinical research, data science	source	12
33	Interface of the SAS System by YAFOOL	Media Mhiri		data science, proc step, proc freq, correlation, proc princomp	source	11
34	Logging Directily onto a SAS System Application	Anders Skollermo	This poster is a comment to "Logging Directly onto the SAS System" described in Chapter 1 in SAS Technical Report P-218 (Changes and Enhancements to the SAS System for the MVS Environment). P-218 describes a way to Log Directly onto the SAS System. In the current paper we discuss another solution to this problem. In both cases the user starts the SAS Application by specifying a certain name (e.g. SASLOGON, see below) on the TSO Logon screen. There are several reasons why the Applications Developer wants his users to enter the SAS Application directly. The users should not have to enter the ISPF menu system and find the panel which starts his Application. Besides, as a rule the user of a SAS Application should only be able to read or write in the SAS Data Library, from within the SAS Application. As a Developer you may -want to hide the names of all the SAS Data Libraries from the users, and also to protect these Libraries from every use outside the Application	sas log, sas output	source	4
35	Manager Workbench Bent Ernebjerg	Claudi Magnussen		management reporting, mis	source	9
36	Managing Time and Resources Enterprise-wide Project Management Software	Helen Hardenbergh	Project Management is no longer limited to traditional project industries such as construction and engineering. The abundance of information and the increasing complexity of projects have increased awareness of the need for tight management and control. As a result, project management software is being used in virtually every important business area including software development, financial management, operations management, marketing, sales and customer services. By integrating information relating to activity progress, manpower, materials, cost and time into presentation-quality reports, project management software provides managers with the ability to improve their understanding of project status and to speed decision-making - the key to successful project management	management reporting, odds ratio	source	3
37	Marketing and EIS in the Riunione Adriatica di Sicurta	Max R. Borsetti	Marketing and E.I.S. Max Borsetti Riunione Adriatica di Sicurta The purpose of this presentation is to make some considerations about the benefits that the companies ofRAS Group are getting from the use of our Marketing Infonnation System, which can be considered an efficient Executive Infonnation System. It was first presented at SEUGI 1991, in Amsterdam, and since then it turned out to be a strategic tool for all the managers who need the rightinfonnation in order to make decisions relating to the business of the Company. After a brief presentation of RAS Group and its sales structure we are going to have a look at the main characteristics of the application. By talking over some pictures of the screens taken from the real on-line application we will get an idea about the ways users access the system and how they make use of the infonnation. Few words about the history of this project and a hint at our future plans in terms of E.I.S	insurer, batch processing	source	11
38	Marketing Research - Uncovering Competitive Advantage	Gerhard Held	The SAS System provides a variety of methods for analyzing marketing data including conjoint analysis, correspondence analysis, preference mapping, multidi mensional preference analysis, and multidimensional scaling. These methods allow you to analyze pur chasing decision trade-offs, display product position ing, and examine differences in customer preferences. They can help you gain insight into your products, your customers, and your competition. This paper discusses these methods and their implementation in the SAS System. Introd uction Marketing research is an area of applied data anal ysis whose purpose is to support marketing decision making	conjoint analysis, proc princomp, proc corresp, proc step, nominal variable, data science, data visualization, predictor variable, anova, regression analysis	source	8
39	Maximising Computer Resources Through Co-operative Processing and Distributed Data Access	Jack Wallace	Cooperative processing and distributed data access are emerging computer technologies of the 90s that have the potential to revolutionize the use of computer resources. Many systems' implementations of these technologies are also revolutionary, requiring complete application rewrites to use the new technology. SAS Institute has chosen an implementation that allows users to practically apply these technologies to achieve business goals. This approach aliows users to preserve their investment in existing applications (whether they are based on the SAS System or not) while integrating the applications with other existing or new applications across multiple computing environments. Applications written with the SAS System may be developed to allow execution of each discrete task in an environment that is most appropriate for that task. Together, these abilities allow users to make effective use of all the computing resources in their organization		source	10
40	Model Independent Pharmacokinetics Using the SAS System	Martin F. Michael			source	11
41	Organising SAS Application Execution and Development	Wiel Maessen		catalog entry, proc datasets modify	source	14
42	Output Delivery System	Thomas J. R. Emmerich	Users often express the need to access values that arc printed by procedures but that arc not available through an output statement. There is also a need to be able to customize procedure output in tenns of data arrangement and labeling. A current development project explores new alternatives for creating and processing procedure listings that willmcct these needs and more. The Output Delivery System (`ODS`) gives the user greater access to procedure output than has been possible in the past. Procedures using `ODS` create persistent output objects from which you can make SAS data sets, produce printed listings, reorgalrlzc and save output in SAS catalogs, and create permanent custom report formats. Two experimental procedures in base SAS software enable you to manipulate and modify `ODS` output objects: the OUTPUT procedure and the `TEMPLATE` procedure	proc step, sas output, proc mixed, catalog, proc template, dataset, if-then-else, output delivery system, macro variable, likelihood function, proc genmod, proc glm	source	8
43	PRPEST:A Flexible SAS Macro for Estimation of Risk Factor Impact in Epidemiologic Studies	Hermann Brenner, Olaf Gefeller	The population impact of an exposure factor on the occurrence of a particular disease has traditionally been quantified by various concepts of the attributable fraction. A major drawback of these proposals results from the lack of reflecting any information on the time dimension of the disease onset. For many chronic diseases, however, primary interest relates to the question how much the risk and eventual disease onset is advanced due to the exposure. In the paper a new concept termed "premature risk period (P RP)" is explained describing the time period of premature disease risk for exposed subjects attributable to the exposure factor of interest. The statistical derivation of an estimate for P RP and its asymptotic variance is outlined in different model situations	interaction effect, confidence interval, macro definition	source	9
44	Release 6.07 of the SAS System Under MVS Performance and Exploitation	Brent Sorenson			source	13
45	Running the Business: Financial Management with the SAS System	Mats Röhfors	The goal of financial management is to manage the flow of money to maximise value while adiieving the business goals of the organisation. The daily and periodic functions of Financial Management involve a number of processes from the recording of daily financial tnnsactions (Accounting Systems) to the delivery of the strategic infonnation needed to make solDld business decisions (Executive Infonnation Systems). Through its Infonnation Delivery facilities, 8AS software is able to provide a single, integrated solution to meet the application and end-user needs of Fmancial Management in a divene computing environment	data wrangling, ledger	source	3
46	SAS Macros for Exact Methods in Nonparametrical Statistics	Thomas Bregenzer		sample, confidence interval, sample size, nonparametric test, rank test, dataset, response variable, statistical software, repeated measures, macro definition, probability distribution, parametric test	source	12
47	SAS Software on the IBM RISC System/6000 Workstation - The Wave of the Future for Information Delivery	Darius S. Baer, James L. Shefelbine	After years of using the SAS System for a wide variety of applications on both MVS and VM mainframe platforms, many SAS users may feel somewhat intimidated by moving to the IBM RiSe System/6000 (RS/GOOO) workstation environment. Actually, once the users become somewhat familiar with the AIX operating system (IBM's UNIX offering), they will feel rather comfortable. We discovered that running the SAS System on the workstation was not only similar in many ways to running on a mainframe, but it was actually easier. The availability of the graphical interface and locally attached terminal made the SAS experience both more interesting and enjoyable as well as faster in most cases. The AIX environment offers unique opportunities and challenges for an organization heavily dependent upon the mainframe environment. Historically, the Burlington Northern Railroad has developed SAS applications solely on the mainframe	data wrangling, dataset, batch job, batch processing	source	6
48	SAS/EIS Software: Developing Applications for Information Delivery	Christer Bodell		dataset, vertical bar chart	source	3
49	SAS/GRAPH Software Tips and Tricks	Ejner Borsting, Jesper Clausen	At SEUGI 91 in Amsterdam only a few end user papers made for the use of `SAS/GRAPH`(~) were represented. We were not pleased with that being aware of the fact that many end users of `SAS/GRAPH` do not always get the desired output. You very easily get a default output from `SAS/GRAPH`, but if you want to make improvements difficulties will arise. This end user paper will give you some tips and tricks which we find applicable using `SAS/GRAPH`. Example 1	proc gchart, proc step	source	10
50	SAS/INSIGHT Software: Introduction and New Features	Gerhard Held		scatter plot, proc glm, ancova, predictor variable, histogram, proc step, covariance, binomial distribution, regression analysis, proc genmod	source	7
51	SAS/OR Procedure LP, Experience and Potential Use in Optimising Solutions to Business Program	Tone Britovsek		proc step, linear programming	source	9
52	SAS/OR Software in Decision Support	Gregory Prastacos		integer programming, linear programming, proc step	source	16
53	Support for Sales Figures Analysis with VIPAS at Deutsche Bank Life Insurance	Berthold Kerl, Wolfgang Scholz		life insurance, data integrity	source	11
54	Supporting National Characters on UNIX	Jochen Kirsten	In almost all of the European countries National Character Sup port is a topic of great interest when it comes to computing. Problems with National Character Support start when text is en tered at a keyboard and continue through to data exchange between different applications on different hardware. This paper gives an overview of the most commonly used character sets as well as the differences in character handling between different platforms. It will give examples on how the SAS System can be configured for National Character Support independently and also in combination with other software products. 382 National Character Support and the SAS System on UNIX Jochen Kirsten, SAS Institute GmbH What are National Characters? The answer to this question heavily depends on the point of view. Considering character sets like russian or greek one comes to the conclusion that these totally consist of national characters	crosswalk, txt	source	28
55	Technical Background of the Revised Consumer Price Index Survey in the Hungarian Central Statistical Office	Mariann Rudas		dataset, data wrangling	source	7
56	The Datastep View: Early Experience	Thomas J. R. Emmerich	With the introduction of the Datastep View, The SAS System has a new option to save program development tim~ and (temporary) data storage. Also, programs may become easier to understand and to maintain. At third, several powerful features of The SAS System now become available not only on single SAS Datasets, but also on flat files, or combinations of SAS Datasets and flat files. The effects on both CPU and elapsed time can be neglected in most cases, but care should be taken. In this paper you will find several ways of using Datastep views, as well as side effects as experienced under The SAS System for MVS (Release 6.07) at KLM Royal Dutch Airlines	flat file, dataset, proc step, proc sql, proc print, elapsed time, order by, cpu time, infile statement, where statement, macro variable, macro definition	source	8
57	The Need for Control Systems in a Decentralised Organisation	Patrick Amzallag		quality of service, customer segmentation, resource allocation, logistic distribution	source	21
58	The SAS System and Meta Knowledge	Herve Augendre	As explained by Y.DODGE and D.J.HAND in a paper entitled What Should Future Statistical Software Look Like? published in the November 1991 issue of the Statistical Software Newsletter "Meta-data is information about data and can obviously be used to help the user of statistical software. More exciting is the prospect that tl;te computer itself can access the meta-data to control the analysis in some extent." Meta-knowledge are not only these meta-data but also the ways to use them. These ideas have still been explorated by SAS Institute in JMP. Attributes are associated with each variables and the statistical platforms adapt themselves to the attributes. The question is Why not in the SAS System? The existing possibilities are listed and discussed including these available in `SAS/INSIGHYTM` and `SAS/LAB`. The SAS announcements concerning the data and `SAS/EIS` will also be taken into account	statistical software, data dictionary, regression analysis, anova, logistic distribution, data cleaning, proc freq	source	7
59	The SAS System as a Publishing System	Michel Gofman		put statement, flat file	source	16
60	The SAS System Delivers Information Throughout your Organisation	Helen Hardenbergh	Every organisation measures its success against its own goals. Commercial enterprises seek to maximi.se ~e profit ~med to its own~rs. Organisations which offer public goods, such as Postal Services, want to meet the demand for those ServIces In an efficIent and cost effective manner. Charitable groups try to re-distribute funds and/or goods to appropriate people (those with a real need). In all of these e~mples there is ~e dung in common: Information must be delivered in a timely fashion to those people in the organisatio~ ~ho need to make decisions. Software plays a strategic role in facilitating information delivery since much of the raw data needed to make deCISIonS exists in some electronic form. This paper discusses the requirements of an Information Delivery System (IDS) in order to deliver the right information to the right people at the right time	flat file, distributed processing	source	3
61	The Use of the SAS System for Atmospheric Data Processing and Climate Research	Alexander Sterin, R. Reitenback		data transformation, dataset	source	3
62	Using Advanced SAS Software Features on OS/2 and Windows	Craig Drury, Jeff Stander, Ulrike Scheuble	The two preeminent operating systems for personal computers, OS/2 Version 2.0 and Microsoft Windows 3.1, are rolling out new releases, upgrading their power and flexibility. The two operating systems provide a solid platform for SAS users on workstations. However, the two systems present radically different architectures to the SAS System. The operating systems differ in the following features: memory architecture, flat versus segmented; multitasking, preemptive versus cooperative; processing power, 32-bit versus 16-bit; file I/O performance, HPFS versus the FAT; DOS compatibility; and user interface. Both operating systems provide an array of inter process communications methods allowing dynamic sharing of data between applications. Examples are Dynamic Data Exchange, Object Linking and Embedding, and named pipes. Today corporations large and small are deciding which operating system they should use for which applications in their organizations	excel, dataset	source	5
63	Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models	John Hendrickx	Generalized linear models (GLMS) incorporate several well known statistical models. such as regression. analysis of variance. logit. probit, loglinear. in a single statistical framework. The SASsample library contains a set of macros for emulating the program GUM (Generalized Linear InJeractive Modelling). I have developed a set of macros thatitnprove upon tbeorigi naIs macros in Several ways. The macros run within `PROC IML`. which makesit possible to modify' the> design matrix . or to manipulate the results, using 1M!. statetnents;Tbepaperdis~ cusses~app1ication of these macrosandPROC `IML` in ooler to applyrestrictionstodlettend in a lolgjn~armodel. The macros are described in Appendix A and,thepro~s for tll:eex-anipleareinAppendix B. . . . . . . ' .. IJjtrodudion. Generalized linear modelS' extend the framework of classic regression 'and analysis ofvari ance to allow fora distributions of the dependent y variate other than nonnal	moving average, proc iml, proc step, estimate, interaction effect, response variable, anova, sample, binomial distribution, proc nlin, poisson distribution, data step, proc calis, likelihood function, predictor variable, regression analysis, proc genmod, dataset, main effect	source	22
64	Using SAS/CALC Software in a Financial Environment	Jonathan Battrick			source	5
65	Using SAS/IML for Advanced Statistical Needs, With an Example on Credit Scorecard Building	Lynne Pritchard, Paul Chik		proc step, sample, macro facility, data wrangling, sample size, dataset, logistic distribution, proc print, proc iml, regression analysis, proc logistic	source	10
66	Using the SAS System as an Executive Information System	Claudia Cavedon	This paper gives a general overview of the concepts of Ers and how the SAS System can address them	quality control, flat file	source	5
67	Using the SAS System to Enhance the Engine Development Process	A. J. Payne, Glen Gould	Current engine development utilises combustion diagnostics to meet the required levels of emissions whilst retaining good performance and economy. The quantities of data recorded necessitate statistical analysis to reduce it into usable information for assessment with more conventional parameters. Ford Motor Company Limited, in conjunction with SPS, have developed a menu driven application for accessing and analysing data measured and collected from prototype engines. The Ford Combustion Data Analysis System (CDAS) is a PC based application, using version 6.04 of the SAS System, linked to a Microvax which stores and pre-processes the data. This paper presents the background behind the development of CDAS, some comments on the development process - including some problems encountered and solved, how the system is being used, and current developments and future plans. 279 Ford/CDAS system setup~ Engine Engine -7 Indiskop Test Cells	box plot, scatter plot, macro definition	source	6
68	Using the SAS System to Generate SAS Code	Mark Aellen-Rumo		put statement, error message, macro facility, macro variable, data step, proc contents, proc step, libname statement	source	8
69	Utilising SAS/SHARE Software in Release 6.07	John Dalton		proc step, data step, libname statement, catalog, dataset, macro variable, where statement, sysrc, proc sql, likelihood function	source	11
70	Variable Constants	Bram van den Berg		proc format, dataset, health insurance, cpu time, put statement	source	8
71	Version 6.07 of the SAS System A Practical Way to Use the New Password-Security Feature for Data and Data-Views	Gerd W. Krohm		create view, dataset, proc step, proc sql	source	3
72	What's New in Release 6.07 of SAS/GRAPH Software	Angela Zenari, Karin Essmann	The request for a graphics editor has been a top SASware Ballot vote-getter for many years and, now, Release 6.07 of `SAS/GRAPH` software brings you the ability to edit graphs interactively within the SAS System. With the graphics editor, you can build your pictures from scratch or easily enhance your `SAS/GRAPH` output with your own imagination or other graphs~ Enhancements to graphics procedures in Release 6.07 include the ability to label contour lines automatically and to control label and contour line attributes; to print the regression equation used in GPLOf output; to display a legend for overlayed plots; to produce error bars for horizontal and vertical bar charts and to route graphics output automatically via new `GDEVICE` procedure screens	proc step, proc gchart, regression analysis, confidence interval, proc gplot	source	11
73	Writing a 4 GL for Statistical Analysis of Customised Databases	Eoin O'Brien, Neil Atkins		proc step, filtering, missing value, data science, data cleaning	source	9

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