SEUGI 1994 Papers - Index

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

#	Title ×	Authors ×	Abstract ×	Keywords ×	Extras	Pages
1	"Please Consult Your Specialist": an Application for Medicine Prescription Analysis	Aswin Bouwmeester, Hans Bertens	PW Consulting, a software agency specialised in SAS software, has developed building blocks that are used to develop applications for our customers. With aid of these blocks we are able to reduce development time and costs. Reliability of our applications is also improved while these blocks are well tested at a number of different sites. In this paper we will discuss some of the merits of two of our building blocks as well as the way they were implemented in an application for medicine prescription analysis	insurer, dataset	source	4
2	A Decision-support System in a Geographical Environment	Eduardo Bracci		output delivery system, extract	source	25
3	A Frame-based Case Report Form Tracking System	Sue Copping		data cleaning, crf	source	6
4	A Graphic Approach to the Evaluation of the Performance of Diagnostic Tests Using SAS Software	Renza Cristofani		roc curve, type i error, type ii error, proc freq	source	9
5	A Look Inside a Working EIS	Craig Drury			source	9
6	A Management Reporting System	Wilfried Schollenberger		management reporting, proc step	source	8
7	A Pharmacokinetic Solution Using the SAS System	Adrian Cottrell	The growing importance of pharmacokinetic results as part of regulatory submission documents triggered a review of pharmacokinetic processes and procedures nearly two years ago. Changes to working practices, data flow, hardware and software tools were recommended. Since the review, data flow has been streamlined and new tools have been introduced: where commercial products were unable to meet requirements, tools were developed in-house. The versatility of SAS has been key to the success of the new arrangement. It has been used as an application development tool, a data analysis tool, a reporting tool and as the 'paste' to combine all the component parts	key, excel	source	5
8	A SAS System as an Infocentre Tool: Implementation of Infocentre at Cofina, Italy	Enrico Guagnini	The Management of a Company is continuously over-burdened by reports on Company trends. Moreover those reports are often too rigid and rapidly obsolete to satisfy the quickly changing environment in which the Company operates. Classical available information happens to be either too synthetic or too detailed, according to the instantaneous need of the User. Data must be retrieved on separate reports, coming from different departments and sometimes elaborated with non uniform criteria. Finmatic Infocenter is an answer provided to the Users spanning from the Top Management to the Area Executives, for a direct and autonomous consultation and synthesis of the Company Information Resources. With the use of Infocenter, Managers and Executives operating in distribution networks of financial products can have a daily synthesis of the selling situation and comparison with monthly trends and the corresponding situation of the past year	excel, histogram	source	7
9	A Statistical Database of Enterprises	Edit Matjenyi, Marianne Rudas		dataset, correlation	source	33
10	A Unique Application Generator for the Management and Control of Clinical Trials Data	Chaim Singal	Innovative drug development requires not only high investment, but an intensive effort in the management of the various clinical studies data, its collection quality assurence and statistical analysis. The SAS system, as an integrative tool capable of coping with all aspects of the clinical development of new drugs, has thus been selected for this purpose. The developed application generates screens for double entry on a single fill!, coupled with on-line quality assurance, reporting and trial aUditing. The advantage of this unique application is that it is self-generating, flexible and eBsyto operate by non-experienced SAS programers; also, each clinical trial can be developed in a few days	clinical trial, quality assurance, data science, clinical research	source	9
11	Accident Analysis for Critical Insurance Areas	Guiseppe Merlini, Guiseppe Cuniberto		incurred loss, insurer	source	4
12	Activity-based Costing with the SAS System	Radu Zaciu			source	9
13	Aide à la Décision et Analyses en Milieu Hospitalier: Apport de la Technologie Objet	Herve Dijon				6
14	Aiming at More Efficient System Support for the R&D Process	Mark Crawford, Winfried Koch		clinical trial, dataset, clinical research, data science, data cleaning	source	8
15	An Application Development Application	John Watts		sysrc, quality assurance, sample, error message, macro variable, %if-%then-%else	source	9
16	An Executive Information System in the Banking Area	Gyorgy Virgula		interest rate, interest	source	13
17	An Illustration of Different Styles of ClientServer Computing Using the SAS System	Bengt Bengtsson	Client/server computing is understood in many different ways, ranging from being the revolutionary new model for computing in the 90's, to simply a buzzword to which we all must pay lip-service. In this paper we will at tempt to describe different kinds of cli ent/server applications, both by examining the current market offerings, and by taking a more		source	3
18	An Introduction to the Automatic Reporting Environment of PMS Norden	Hilde Anita Larsen		dataset, data science	source	7
19	Analysis of Dose-response Curves in Molecular Pharmacology by the SAS System	Paola Baiardi	When different levels of a stimulus are administered in a biological system, it is likely that the induced effect, quantal or quantitative, will be a function of the level of the stimulus. This is known as dose-response relationship. In pharmacological studies of hormones, drugs and neurotransmitters, the transfer function between an input (log dose) and the related output (quantitative response or its metamer), is typically monotonic and S-shaped. Morphological characteristics of this sigmoidal curve may reflect mono- or multi- compartmental systems due to the involvement of one or more receptor subtypes. In order to describe pharmacological dose-response relationship, a good compromise between the empirical and the theoretical approach is the four parameter logistic function. According to the principle of effects superposition, a summation of logistic terms could be used to identify multi-compartmental models	logistic distribution, regression analysis, goodness of fit, estimate, f-test, data science, degrees of freedom, proc reg, logistic regression, response variable, correlation	source	10
20	Application d'élaboration budgétaire au Groupe France Printemps	Renee Babe	Presentation			19
21	Application Developed for the Italian Ministry of National Education	Maria-Lidia Fedele		proc sql, alternative hypothesis	source	8
22	ATELIER: Outil d'Aide au Développement D'Applications SAS/AF en version 6.08	Denis Singer		output delivery system, proc step		22
23	ATMOSFERA a Computer System Developed with SAS Software for Management, Forcasting and Analysis of Metereological Data and Atmospheric Pollution in Urban Territory Data	P. Fedelel, G. Grandoni, M. C. Mammarella, G. Marcon, M. Sanarico		data science, multiple regression	source	11
24	Automatic Generation of Accumulated Data Matrices in a Tabulating Process	Jesus Castillo	The SAS system offers great possibilities in order to get information in a tabular form. The procedure `PROC TABULATE` is the most adecuated for these kind of tasks. Its syntax is simple and powerful. With a few lines of code, tables with a complex structure can be obtained. However, the output produced by this procedure is not a data set but a report. Its manipulation for another SAS procedure is difficult. The work presented in SEUGI'94 has the purpose to develop an automatized procedure that allows to get an accumulated data matrix as a SAS data set starting from a table definition	where statement, proc step, proc tabulate, dataset, proc means	source	9
25	Automatic Generation of Clinical Individual Data Documents, Using Connectively to Access Oracle Data on PC	Gaetane Van der Borght	At one of our client site in the Pharmaceutical Industry, the `SAS/AF`· tool was used to automate the production of clinical Individual Data Documents, containing one or more chapters, relating to one or more patients, investigators or countries. As extended tables were used for these selection lists, the details for new investigators, patients or chapters can be dynamically presented as they are created, without any modification of code. On user exit, this interface also sends a copy of the log window contents to the printer as a journal file, to document access to the data and manipulations done on them. The data to be printed are stored in an ORACLE database running under VAXIVMS·. To exploit all the power of a standalone PC workstation, this application was thought up as running on SAS for MS/Windows· and exploiting data brought back from the host machine, through `SAS/ACCESS`· views, using Data Transfer Services of the `SAS/CONNECRE` module	clinical trial, missing value, pharmaceutical industry, phase iii, proc step	source	4
26	Budgeting Clinical Trials Using the SAS System Development Environment	Patrick Genyn		clinical trial, oracle, clinical research	source	10
27	Building a Data Dictionary in an End-user Environment (2)	Raphael Copis		data dictionary, dataset, macro loop	source	10
28	Building Applications with the SAS System's EISE Business Object Library	Craig Drury			source	4
29	BUPA and SAS Institute UK Working Together	Ian Thornhill, Morton Geppert			source	15
30	Chaîne de traitements automatisés sur des fischiers de très grandes tailles - Application dans le domaine automobile	Denoit Le Cann		proc step, proc univariate, proc gplot		10
31	CHICKO: Groupware for SAS Application Developers	Rolf Annen	A SAS1 application for creating a multi project development environment. An efficient tool to control the member level status according to the development cycle. It allows also comfortable maintenance of any SAS entries	catalog entry, batch job	source	6
32	CIS the Controlling Information System of Vienna's Hospitals	Karl Bousek		final analysis, variable list	source	7
33	COBOLINT: An Interface for Calling COBOL	Robert Owen		data step, sysrc	source	6
34	CPE is Dead - Long Live SAS/CPE Software	Ken Sandison, Neil McMenemy		capacity planning, management reporting	source	10
35	Creating a Documentation Routine with the 'Lists' Facility	Kjell Wallstedt		proc step, sas base	source	5
36	Creating FORMATs Automagically	Markku V. Suni		proc step, proc format, dataset, proc sort, sas programmer	source	8
37	Cross Validation of Nearest-neighbour Discriminant Analysis	Allan White	The SAS statistical package contains a general-purpose discriminant proce dure, DISCRIM. Among the options available for this procedure are ones for performing nearest-neighbour discriminant analysis and cross-validation. Each of these works well enough when used separately but, when the two options are used together, an optimistic bias in cross-validated performance emerges. For certain parameter values, this bias can be dramatically large. The cause of the problem is analyzed mathematically for the two-class case with uniformly distributed data and demonstrated by simulation for normal data. The cor responding misbehaviour for multiple classes is also demonstrated by Monte Carlo simulation. A modification to the procedure, which would remove the bias, is proposed. Key Words: Cross-validation; nearest neighbour discriminant analysis; SAS; optimistic bias. 1 A.P. White is also an Associate Member of the School of Mathematics and Statistics at the University of Birmingham 829 t	data cleaning, posterior probability, discriminant analysis, prior probability, sample size, sample, monte carlo, linear discriminant analysis, numeric functions, binomial distribution	source	15
38	Data Management and Data Quality in a Multi-Centre Study	J. Mulder		data cleaning, output delivery system	source	8
39	Data Management of Clinical Studies	Magdolna Kiss		adverse events, data governance, clinical trial, sas output, data cleaning	source	6
40	Data Warehousing with the SAS System	Henri Theuwissen		data dictionary, batch processing	source	12
41	Decision maker Un Outil de Reporting SIADEIS développé avec le Système SAS	Sylvain Marsault				13
42	Designing a Management Workbench for Top Management at Deutsche Bank AG	Elke Haaren-Retagne		time series analysis, excel	source	3
43	Dynamic Data Analysis in SAS/INSIGHT Software	Gerhard Held			source	2
44	Développement d'une procédure de qualification de classes avec le logiciel SAS/Toolkit sous SUN-OS	Chantal Renault, Patrick Babayou		proc step, class variable		9
45	Eating Our Own Cooking: The Role of SAS/CPE Software in Managing Information Systems Resources at SAS Institute	Mike Wroot	This paper describes how the SASlCPE family of software products is used in managing SAS Institute's own complex networked environment, which includes IBM mainframes, VAX midrange systems and clustered workstations, and over 1,000 HP workstations and file servers. Specific examples will be drawn from the areas of ad-hoc performance studies, service level monitoring, and resource usage reporting		source	7
46	Effective Utilization of Region Attachments in a FRAME Application	Jennifer Major	This paper discussed the utilization of region attachments within a FRAME entry. The intended audience is FRAME application developers. The following topics will be covered: o Various attachment types and options. o Using region size restrictions. o Attachment interpretation. o Avoiding and handling errors. o General tips. o Real life examples from the SQl Query Window		source	10
47	EIS Un outil performant pour l'analyse du risque en Assurance	Fabienne Hassan, Pascale Robin			source	10
48	Empowering and Informing the Company Manager The Importance of EIS to BPR	Philip Carnelley	The Importance of EIS to SPR Philip Carnelley Ovum Ltd. I, Mortimer Street London WIN 7RH England Business Process Reengineering (BPR) is the latest in a long line of initiatives to improve company effectiveness and competitiveness by a new management approach. In this case, the core idea is to redesign key company processes. The conerstone ofBPR is to minimise unnecessary steps and work, as authority is delegated and employees at many levels are empowered to do their day-to-<iay work without reference to higher authority. True BPR can have a radical (and beneficial) effect on company performance. It also can lead to extensive "de-layering" - removal of several tiers of management to produce a smaller, flatter organisation. It is generally made possible by the use of advanced information technologies, especially networking of systems and groupware applications. Another key technology for BPR is the EIS (Executive Information System)		source	5
49	Enhancement to the Graphical User Interface for the SAS System on Personal Computers	Julie A. Maddox, Ulrike Scheuble		proc step, proc tabulate	source	9
50	Establishing a Management Information Environment Using the SAS System	Robin Wilson	Data relating to the life assurance and pension policies of a million clients is a valuable resource for managers and professionals at all levels of a financial services company. The paper traces some of the key principles involved in the development of a Corporate Management Information Environment which improved the effectiveness and efficiency of translating large volumes of data into readily accessible information. Initial success was achieved by a small team of systems professionals dedicated to writing SAS programs in response to management requests for ad-hoc reports and analyses. Facilities were expanded via a series of projects which led to the creation of a management information database . This is held on an mM mainframe computer as SAS datasets and supports both regular batch reports and on-line "point and click" information systems which together form an integral part of Abbey Life's business processes	management reporting, dataset, sas base	source	10
51	Estimating Robust Scale Measures Using SAS Software	Hans-Peter Altenburg	In the paper we demonstrate how one can determine robust scale estimators using de terministic algorithms. Many estimation procedures such as Huber or Tukey are data screening and outlier detecting procedures require robust scale measures to give'reliable results. The actual SASmacro source codes are given corresponding to the naive algorithms	sample, normal distribution, standard deviation, interquartile range, outlier, proc step, robust estimator	source	7
52	Evaluation d'Actifs financiers par le modèle d'arbitrage sur le marché Européen	Frederic Debaere		correlation, covariance		14
53	Experiences Using SAS/ASSIST Software for Query and Reporting from DB2	Bent Melgaard		proc sql, dataset, data dictionary	source	7
54	Exploitation d'une enquête pour la constitution d'un panel de réseaux	D. Lautard, Frank Jamin		regression analysis, correlation		14
55	Exploiting the SAS System the Experiences of a Small Agency	Colin Youngson		proc step, proc tabulate	source	7
56	Features for Reporting in the SAS System - a Mini Tutorial	Bjarne Nielsen, Jakob Wonsild		proc report, proc step, data step	source	9
57	Files and Frames	Sue Copping		crf, excel	source	6
58	Forecasting the Cost of Corporation Tax Changes Over a Three Year Cycle	Michael Molloy		financial services, time series analysis	source	4
59	From Executive Information Systems to Enterprise Information Systems Guidelines for Success	Jurgen Fritz			source	5
60	Graphical Extensions for Principal Component Analysis (Insight of a Dream PCA)	Philippe Besse		fixed effects, covariance, outlier, proc princomp, sample, discriminant analysis, data visualization, dimensionality reduction, regression analysis, nominal variable	source	16
61	How to Help Your Security Team Sleep at Night	Darrell Edgley	The establishment of `SAS/AP`-, `SAS/CONNECT`- and `SAS/SHARE`- as information delivery tools in a multi-architecture environment has opened an ocean of possibilities. Allowing and encouraging users and application developers to take advantage of the possibilities while accommodating sharks, shipwrecks and tropical storms can lead to a serious security headache. It is important to establish a framework for security at an early stage in the development of applications. This paper outlines a SAS· based solution developed for a large fmancial organisation that wanted to be able to allow the users to exploit the power of SAS under MVS, OS/2 and UNIX, whilst allowing the security team to sleep at night	dataset, bar chart	source	4
62	Index de Qualité sur une Base de Données	Christope Vidy, Edmund Otun				4
63	Info Where an Information Dictionary	Eric Dingreve, Harm van der Lek		foreign key, sample	source	6
64	ITS: Management Information System in a ClientServer Architecture	J. Seidl		problem solving	source	10
65	L'Apport de la Programmation Orientée Objet dans le Développement d'Applications sur le Système SAS	Laurent Le Moigne				22
66	Large-flow Applications Development at the Institute for Economic Analysis and Information Technology	Ha Hoang Hop		sample, proc step	source	7
67	Le Système SAS et la refacturation des coûts informatiques	Laurent Descamps		excel, data cleaning		9
68	Le Système SAS: Education et Formation dans une Ecole Technique d'Informatique	Reinhard Imhof, Werner Maier				41
69	Mainframe Rightsizing Consider the RISCs	Don Lutter	A major trend in today's Information Technology (IT) industry is mainframe rightsizing to lower cost RISCIUNIX platforms. As with other new indusUy trends, there are a few companies who are early adopters. However, the majority of companies prefer to wait in the wings to see how it should be done. This paper presents the experiences of a number of early adopters in the rightsizing of SAS mainframe applications. Concerns, implementation issues, and problem solutions are discussed for various SAS applications in multi-tiered client/server computing. We show that the power of new RISC based UNIX systems is ideal for a "no compromises" approach to supporting SAS Institute's Cooperative Processing Strategy	data wrangling, logistic distribution	source	9
70	Making a Silk Purse from a Sow's Ear!	Mike Samphier	This paper describes how, by using the extensive library of text and character manipulation functions available in SAS, critical information was extracted from a rather poor and disorganised data source. The project was carried out by staff in the Information Services Unit of the Lothian Health Board, where SAS is used extensively for the management, analysis and presentation of health service data	data step, dataset, proc step	source	7
71	Making Your SAS System Customers HAppy in a Multi-user Environment	Stepanka Mayer	Sandoz Pharma Ltd.'s IT infrastructure within research and development is DECN AX and MS-Windows PC-based. The SAS System has become the strategic global software environment. Effective implementation of SAS and responsive support are therefore of high priority. At Sandoz, the SAS System Release 6.08, is installed on the VAX computer and on DEC Pathworks under MS-Windows. To help users be more productive using SAS software, we 1) optimized the use of SAS in the traditional VAX environment, 2) implemented SAS in the new client/server environment, and 3) provided enhanced IT support, including newly-developed SOPs. This approach has resulted in more self-sufficient, productive users and more cost-effective use of the software	batch job, work library	source	8
72	Marketing Data Analysis with SAS Software	Zdzislaw Piasta		proc princomp, covariance, proc tabulate, proc step	source	10
73	Methodical SAS Programming	Andy Ratcliffe	The joint introduction of the SASI AF Frame entry and Method block with SAS versions 6.08 and 6.09 has been heralded as the dawning of a new age for SAS programmers. Every SASI AF programmer now has the tools to create object-oriented, modular programs. The notions of modular and object oriented programming (OOP) are well known to those with a professional interest in programming, but few of us have had any formal training in either. This paper does not attempt to provide a substitute for such formal training; it does, however, aim to give its readers a quick tour of specific concepts and anticipated benefits. Having provided this basic understanding of OOP, the majority of this paper concentrates on the author's experiences in designing, coding, and 443 maintaining object-oriented, modular applications. SAS-specific techniques are described, encapsulating one or more of the OOP objectives	macro variable, keyword parameter, %macro parameters, macro definition	source	15
74	Migrating SAS Applications from PC-DAS to OS/2 and UNIX	Bram van den Berg		dataset, health insurance	source	7
75	Mise en place d'applications SAS dans le domaine de l'essai clinique	Elisabeth Prieur			source	3
76	Mise àjour du système de prévision de la CAMIF	Jean-Francois Vergnieres		correlation, output delivery system		8
77	Model-Independent Pharmacokinetics Using SAS/PH-Kinetics Software	Brian Fredric	SASIPH-KineticslM software is the second product in the SASIPH software series to be delivered by the SAS Institute. It is a vital new productivity tool for pharmacokinetic data management, analysis and reporting, and has been developed based on the needs of the pharmaceutical industry. This paper gives an overview of SASIPH-Kinetics software and identifies and demonstrates key features that will enhance the productivity of pharmacokineticists in the pharmaceutical industry	pharmaceutical industry, dataset, data science, proc means, pk parameter, adpp	source	5
78	Multi-variate Methods for Quality Improvement with SAS/QC and SAS/GRAPH Software	Gilbert Saporta, Luan Jaupi		normal distribution, null hypothesis	source	4
79	Nature's Harvest: An Integrated Multimedia Application	Steve Morton			source	2
80	Neural Networks and Statistical Models	Derek Powell, Martin Duffy	There has been much publicity about the ability of artificial neural networks to learn and generalise. In fact, the most commonly used artificial neural networks, called multilayer perceptrons, are similar to non-linear regression and discriminant models that can be implemented with statistical software. This paper explains what neural networks are, translates neural network jargon into statistical jargon and vice versa and shows the relationships between neural networks and statistical models such as generalised linear models etc	neural network, regression analysis, proc reg, logistic regression, data science, training set, logistic distribution, proc princomp	source	9
81	New Analysis Features in the SAS System	Gerhard Held			source	4
82	New Developments in Accessing Enterprise Data with the SAS System	Emily P. Wallace, Peter Herbertz			source	1
83	New Diagram Types by SAS/GRAPH Software	Leena Metso		proc step, proc gchart	source	3
84	New Features for OOAD in the SAS System	Robert Owen		bar chart, horizontal bar chart	source	6
85	New Features for Remote and OPEN Access to Enterprise Data	Jack Wallace	Access to data from the SAS System- is constantly being expanded and enhanced. In the last year, features have been . released that allow transparent access to remote data on machines with different machine architectures (called remote library services). A new feature in development will OPEN acCess to SAS Data for non-SAS applications (such as `EXCEL`) which utilize the ODBC API in a Windows environment. These new features are built on a modular system architecture that often provides more than one way to accomplish a given distributed data access task. To choose the best method, it is advantageous to understand the processing performed by the components of Multiple Engine Architecture. Future enhancements for remote and open data access are also dependent on this architecture. This paper introduces the new features but concentrates on the architecture and it's implementation	excel	source	10
86	New Features of SAS/PH-Clinical Software	Brian Fredric	SASIPH-Clinical(ID software is the first product in the SASIPH series to be delivered by the SAS Institute. It is a productivity tool the management, analysis, reporting, and internal/external review of clinical trials data, and has been developed and enhanced based on the needs of the pharmaceutical industry and regulatory agencies. This paper gives an overview of the latest new features implemented in SASIPH-Clinical software to satisfy current requirements by users. The paper also discusses the future direction for the software and announces the Institute's new release of the software, SASIPH-Clinical 2.0	clinical trial, clinical data, regression analysis, proc freq	source	6
87	Nonparametric Estimation of the Hazard Rate Statistical Methods, Examples and Software (un)availability	Olaf Gefeller	The hazard rate has become an important statistical tool in the methodologic repertoire of .~ failure time analysis. Hazard rate estimation is increasingly being employed in a variety of .f t practical applications. In this paper, a brief review on nonparametric estimation methods i for the hazard rate based on kernel functions is provided and the current software situation f regarding implementations of this methodology is examined	hazard function, censoring, probability distribution	source	8
88	Object Oriented Document ManagementCreation The Merging of a CRO's SOPs and Client's SOP to Create Working Procedures	Andrew McNally			source	10
89	Optimal Use of the SAS System for Clinical R&D	Tasha Kostantacos		proc means, excel	source	4
90	Point and Interval Estimation of Risk and Rate Advancement Periods in Epidemiologic Studies Using SAS Software	Annette Pfhalberg	In epidemiologic studies, the impact of a risk factor on the occurrence of a particular disease has traditionally been quantified by variants of the attributable risk. For many chronic diseases, however, risk factors merely advance the disease onset, and traditional attributable risk measures do not convey information on the time dimension of disease onset. Therefore, a new concept termed "risk and rate advancement periods" (RAP) has recently been introduced for chronic diseases which describes the time period by which the risk or rate of disease is advanced among exposed subjects. In the paper, the statistical derivation of point and interval estimates for RAP is briefly outlined. For the computational realization, a flexible SAS@ macro called RAPESTIM has been developed. The macro works on any SAS data set created by some statistical procedure of the SASjSTAT@ software with the OUTEST-option. The SAS program code of RAPESTIM as well as its implementation and usage are explained	interaction effect, confidence interval, confidence level, data visualization, macro call, macro variable, proc step, %if-%then-%else	source	11
91	Practical Aspects of Modelling Techniques in Logistic Regression Procedures of the SAS System	Josef Hogel	Practical apllications of logistic regression analysis often involve the implementa tion of model-building strategies to find an appropriate final model for a comprehensible description of the relationship under study. The statistical software used for logistic re gression modelling has thus not only to be evaluated with respect to its features related to analysing one given model but also with respect to its capability to support the model building process. In this paper, the procedures within the SAS software performing logistic regression modelling are examined to which extent they offer the necessary featu res for convenient model-building. The deficits found in this investigation are described in combination with a proposal for theit resolution	feature selection, logistic distribution, logistic regression, proc step, regression analysis, binary variable, proc logistic, predictor variable, main effect, automatic variable, statistical software, likelihood function	source	6
92	Process Flow Diagram	Francois Duquesne			source	2
93	Project Planning and Control System	Arturo Busso, Jakob Weinstock, Mercedes Lifsitz	The Israel Electric Corporation Ltd. manages projects of construction and operation of power stations, gas turbines and substations, etc. These projects include licensing, planning, procurement and erection of new and existing power stations. The Project Planning and Control System was developed to satisfy the need for managing the Planning Division's engineering work	data science, dataset	source	8
94	Prototype EIS de I'IUT de Vannes	Paul Paboeuf			source	5
95	Query and Reporting from DB2 Using SAS/ASSIST Software	Georg Morsing			source	5
96	Rapid Applications Development to Assure Critical Success Through Quality	Ian D. Cox	Adrian Reynolds	data science, group by, sample, catalog entry	source	10
97	Resampling Using SAS/IML Software Some Medical Applications	Gina Joubert		sample, bootstrap, odds ratio, correlation, logistic regression, logistic distribution, confidence interval, regression analysis, binomial distribution	source	8
98	REXX SAS: The User Interface of Swissair for the SAS System Under MVS/TSO	Christel Ott		sas library, libname statement, macro variable	source	7
99	SACADOS: Un outil de visualisation et de traitement statistique des données	Lydia Sturma, Michel Lariviere		macro variable, excel		11
100	SAS Software, Statistics and the Revenue Commisioners	Liam S. Kelly			source	51
101	SAS System Macros for Multi-variate Two-sample Tests in the Case of Incomplete Data	Thomas Bregenzer	Multivariate two-sample tests offer the opportunity to condense the statistical comparison between two samples containing data on several variables into a single p-value. This approach is preferable in decision-oriented situations, for example, in clinical trials when the evaluation of therapeutic superiority of one treatment over the other is based on more than one endpoint describing treatment efficacy. In such situations, Hotelling's T2 statistic detects any departure from the global null hypothesis of no difference between the samples with respect to all variables, whereas O'Brien's OLS- and GLS-test looks for equidirected alternatives. In the paper, a SAS macro collection is introduced to address the computational real ization of those multivariate two-sample tests within the SAS software. The sta tistical methods implemented in this collection incorporate the case of incomplete data using all available information from the observed variables	sample, treatment effect, two-sample test, null hypothesis, covariance, proc step, standard deviation, class variable, clinical trial, macro call, macro definition	source	10
102	SAS System-based Verification of Double Data Entry in a Focus Database	Andre Gravel		proc compare, input statement, dataset, proc step, missing value	source	22
103	SAS/VIDEO Software Easier to Program than Your VCR	Sanjay N. Matange, Jade Walker	This paper is an overview of the features and application uses of SASNIDEO software, that provides a multimedia interface to data presentation. The first part of the paper lists and describes the features available in SASNIDEO software: how to set up, convert, and run a video clip. After a brief discussion on planned enhancements and on interfaces to other parts of the SAS system, the paper suggests applications that can use this capability and provides an example of an application	proc step, sample	source	5
104	Searching Large Databases with the Help of the SAS System	Steve Binning, Thomas Kanestad		dataset, proc sql, proc step, temporary dataset	source	7
105	Simulation of Sectoral Employment Change in the Länder of Germany Using SAS/ETS Software	Arne Gaiser	This paper illustrates the use of the `SAS/ETS` `MODEL` procedure through the example of a nonlinear discrete-time model constructed for the simulation and forecasting of sectoral employment changes in the Uinder of Germany. The first part explains the characteristics of regional economic systems. The second part shows how to create, to code and evaluate a model of such a system using `SAS/ETS` `MODEL` procedure. Special concentration is given to the following topics: The nonlinear relationships between the model variables and its discrete-time structure, the model calibration and the results of simulation and forecasting. It will be shown that the model reproduces the sectoral shift of employment towards the tertiary sector quite well. It can be seen, that working-time reduction combined with an over-compensatory wage increase leads to model predictions which differ less from the assumptions of the possible future employment structure than in the case without income increases	proc model, proc step		12
106	Starting with the SAS System in the Central Bureau of Statistics in Croatia	Srdan Dumicic, Zrinka Marusic	The paper starts with an outline of the main activities of the Central Bureau of Statistics. There follows an explanation of the reasons for selecting the SAS System to provide for these functions, and the role and the status of the SAS System within the hardware and software environment of the Bureau are defmed. A description follows of the project to implelhent the SAS System within the Bureau's regular work. together with details of early experience in application development. The importance of staff training is highlighted, along with the need to find and allocate sufficient time to it. Finally an indication is given of the possibility for co-operation with other statistical offices using the SAS System, in particular with new users in Central & East European countries	data wrangling, data science, sample, data step	source	7
107	Statistical Decision Support - Expert System for Examining Decaying and Aging Manpower Displacements	Yechezkel Kling		regression analysis, binary variable	source	8
108	Successful IT Strategies within the Government Sector	Derek Mather		management reporting, phase ii	source	14
109	Supporting Service Delivery Management the ANHYP Computing Centre Information System	E. Torfs, L. Mertens		capacity planning, sas base	source	7
110	The Analysis of Data from Case-control Studies Which Statistical Methods and Software Products are Used	Olaf Gefeller		likelihood function, logistic regression, data science, logistic distribution, regression analysis, proc freq	source	9
111	The ASSIST System	Martin McGill		excel, data science	source	2
112	The Benefits of Object-Oriented Application Development Using the SAS System	Thomas J. R. Emmerich	The SAS System can now take full advantage of the object-oriented (00) paradigm. There are volumes of materials describing the benefits of object-oriented programming in general. There are also manuals describing how to write 00 applications with SAS software. This paper describes why you may want to use 00 techniques when writing applications based on SAS software. Object-oriented programming (OOP) is a refinement of modular programming. SAS Institute has provided 00 constructs that build upon existing modular programming techniques available to Screen Control language (SCl) programmers. As a result. well-written modular SCl programs are but a step away from becoming classes in a.class hierarchy. A class hierarchy can act as a set of generic tools that can be applied to virtually any application	catalog entry, sas base	source	9
113	The Expense Information System at Interpolis	H. Scheerhorn, R. P. A. van den Akker		insurer, ledger	source	12
114	The Panel Administration System	Andrew Beggs		length statement, proc freq	source	10
115	The Publicitas EIS Choix de SAS et Premières Expériences	Edmond Comut		output delivery system		15
116	The Research Scientist Application (RSA)	Gerhard Held	Summarl .. Date, Range Plot, Box Plot -Graphics: Bar Chart, Scatter Plot , Contour Plot, SUrface Plot, Regression Scatter Plot -Analys": T-Tests, Nonparametrlc Tests, ANOVA, Regrasslon, Normal Probability Plot 786 The Opportunity ~. _________________________ <S'-I::Gl""" The SAS System Is the most powerful System for Data Analysis and Presentation Queation: The right Functionality with an Intuitive Interface Solution: Application Development and Packaging The SAS Research Scientist Application Target: -Originally Pharma Industry -NOW Research Labs In every Manufacturing (Pharma, Chemical, FoodlBaverage, OiliGas, Envlronmant) -also Govemment and UnlveraltlM ApplicatiOns Development: -Credits for Idea and Development to SAS UKI The SAS Research Scientist Application Packaging (continued): -Session ManagerlDlery -Interfacas: SASiASSIST, SASICALC, SASlLAB,		source	2
117	The Role of Information Delivery for Corporate Reengineering	Allan Russell			source	8
118	The Role of SAS Software in the Analysis of the Data in a Donor Insemination Programme	William Wallace	The SAS software has been used to analyse the data in our Donor Insemination Programme (DI). The initial data were recorded in dbase fIles (dBase IV)l which were transferred to SAS files (using `DBF` procedure). The `LIFETEST` procedure was used to construct life tables, to report on pregnancy rate. A cumulative conception rate of 55.6% was achieved after six cycles of treatment. The effect of patients' characteristics, each independently, on pregnancy rate were analysed using `LIFETEST` procedure. These include female age, male. diagnosis, female diagnosis, body mass index, duration of infertility, number of inseminations and cervical mucus score. The Cox's proportional hazards modeIZ was used to explain the effect of variables on survival time, using the `PHREG` procedure. The age of the female recipient was the only significant variable that affected pregnancy rate (p=O.OOl)	proc phreg, regression analysis, confidence interval, predictor variable, life table, data step	source	14
119	The SAS System for Information Delivery	Bou Maurits		quality control, trend analysis	source	8
120	The SAS System for Open Systems RAD	Thomas J. R. Emmerich			source	20
121	The SAS System vs DB2 as a Relational DBMS for End Users Three Corporations with Three Different Solutions	Steve Scott	Three corporations with different sizes and types of Relational DBMS are reviewed. All three started with DB2 as the DBMS and SAS as the analysis and reporting system. Corp. A sought to build a information warehouse and to store its data in DB2 tables - but in the process discovered that SAS software as a DBMS reduced CPU times by over 86%. Because of the size of this database - 30 gigabytes - stored on 1 7 3380 triples - the potential saving were in the millions of dollars. Corp. B purchased a OB2 based Human Resource and Payroll System. They also built a 082 corporate reporting database based on the production system and updated daily - and a SAS reporting database from which the weekly/supplemental/monthly/quarterly/annual H'ports are produced. By reporting from SAS instead of DB2 or Flat File they reduced potential CPU costs by over 90%. Corp. C had a small DB2 database containing charges for computer services - software, hardware, cpu time, programming etc	dataset, cpu time, proc step, flat file, where statement	source	5
122	The SAS System: A Complete Client/Server Solution	Cheryl A. Garner		libname statement, proc step, where statement, traffic data, numeric variable, proc upload, dataset, character variable, catalog, bufsize, proc download, txt, data step, proc sql	source	11
123	The SQL Query Window	Rick Evans	The SQL Query Window is a production feature of SAS/ ASSIST software beginning with Release 6.08 TS408 and Release 6.09 TS037 of the SAS System. The SQL Query Window is a point and click environment that allows you to build SQL queries and reports with minimal effort and no SAS or SQL knowledge	proc sql, group by, where statement	source	13
124	The Use of SAS/ASSIST Software in the Home Office to Analyse Data From a Variety of Criminal Justice Sources	Garnett Compton, John Simmons		data cleaning, sample	source	9
125	To run an EIS Project Within the Public Health and Medical Sector	Jan-Olov Isaksson		raw data, management reporting	source	9
126	Total Quality Management - Successful Use of Information Technology	Renzo Traversini	An inaeasingnumberof organizations are finding that quality impovement efforts conttibute to customer satisfaction, cost-containment and competitive position. This paper demonsttate how the SAS System can be used to solve problems that arise in large-scale quality improvement projects. Tools are available for identifying problems, understanding processes, analysing data and monitoring project effectiveness. These tools can be incorporated into information delivery systems designed to meet the differing requirements of analysis and decision makers throughout the organisation	customer satisfaction	source	5
127	Un Outil de Développement pour la Comptabilité Publique	Pierre Barreaux				11
128	Un progiciel développé sous SAS/AF pour créer des tables SAS à partir de tout typpe de fichier ou SGBD interfçable avec le Système SAS	Serge Silberberg				10
129	Une application sous SAS/AF pour administrer et interroger un fichier d'incidents survenus dans des centrales nucléaires étrangères	Valerie Durbec				10
130	Une méthode de statistiques douces Le polissage d'un tableau croisé	Michel Grun-Rehomme		regression analysis, box plot		10
131	Using PROC MIXED on Animal Growth Curves Some Initial Experiences	Graham Healey		proc step, estimate, covariance, proc mixed, fixed effects, restricted maximum likelihood, proc glm, proc calis, correlation, proc genmod, regression analysis, proc nlin	source	10
132	Using SAS Software to Analyse the Use of Electronic Mail in the University of Liverpool	C. Woolf		proc freq, filename statement	source	8
133	Using SAS/IML Software to Develop Flexible Regression Models	Edwin Gillespie, Noel Wilson	This Paper outlines the use of `SAS/IML` in the building of regression models. The `SAS/IML` matrix programming language has been used to code routines for the calculation of various statistics and to create a program for the analysis of a dataset associated with company performance measures. Use of SASIIML, as opposed to the conventional `REG` procedure, has been selected to facilitate an understanding of the mathematical aspects of multiple linear regression theory, and to incorporate tests not available in standard statistical software. The Paper briefly refers to the use of neural computing techniques as an alternative approach to model building in such situations. Keywords regression analysis; outliers, high leverage and influential data points. Statistical Background (i) General Discussion The effects of variables and observations on the general linear regression model can be significant	regression analysis, predictor variable, outlier, influential observation, proc reg, condition index, sample	source	5
134	Using SAS/SPECTRAVIEW Software for Data Visualisation	Stuart A. Nisbet	In this paper, we present some different types of data visualization that can be performed with `SAS/SPECTRAVIEW` software. The discussed visualization applications will explore both spatial and non-spatial data analysis and can, therefore, be useful examples in a wide variety of industries. This paper is meant to supplement a formal demonstration of the `SAS/SPECTRAVIEW` software	data visualization, response variable	source	2
135	Using the SAS Software, SQL and SIMPLE++ to Ensure that Expensive Investment Decision are Based on a Statistically Sound Experimental Analysis of Descrete Event Simulation Models	P. Rushton		confidence interval, sample, data cleaning	source	10
136	Using the SAS System to Provide Enterprise Solutions	Alastair Simms, S. Wollard		management reporting, cell site	source	9
137	Using the SAS System to Show Traffic Load in a Mobile Telephone Network	Mikael D. Aagaard		raw data, oracle, proc step	source	14
138	Utilisation du DDE pour les Transferts de Données entre le Système SAS et Excel	Didier Cros		excel		10
139	VALITYPO: une Macro pour valider statistiquement une typologie	Christian Derquenne		correlation, monte carlo	source	12
140	Variants of the Attributable Risk in a Multi-factorial Situation Theory and Computational Realisation	Olaf Gefeller	Statistical methods for quantifying the population impact of exposure factors by means of estimating some variant of the attributable risk parameter for a binary disease variable based on stratification methods or multivariable models have been extensively developed during the last decade. In epidemiologic studies, these risk parameters enjoy growing pop ularityas they allow a practice-oriented interpretation for public health purposes. Despite this demand by epidemiologic researchers, none of the leading statistical software pack ages including SASTM has incorporated any attributable risk parameter in the catalogue of measures of association to be automatically calculated in some procedure. In the pa per, an introduction to the theory and application of attributable risk estimation from epidemiologic data is provided. Then, a general method and its corresponding practical realization are described how to calculate different attributable risk estimators using the SAS software	statistical software, relative risk	source	11
141	Visualisation and Analysis of Urban Traffic Data	Vesna Luzar	Visualisation and Analysis of Urban Traffic ,Data Livia DeUa Ragione·, Veniero Giglio·, Vesna Luzar·· and Mario Rapone· ·Istituto Motori, CNR, Napoli, Italy ··University Computing Centre, Zagreb, Croatia Data on vehicle operating conditions have been recorded by a specially equipped car. while circulating through Naples on several typical routes. during rush hours. Traffic was defined in terms of parts of movements between two consecutive stops ("kinematic sequences"). characterized by a number of kinematic variables. such as mean velocity. driving and idling time. gear ratio. number of peaks. etc. Cluster analysis was used to identify typical groups of sequences. and was followed by canonical discriminative analysis yielding canonical scores used in plots. Series of successive sequences were then grouped into cycles. based on observed transition probabilities among clusters. Cycles were then clustered	proc freq, bar chart	source	11
142	We Must Achieve an Intergrated Approach to the Presentation of Systems if we are ever to Realise the Full Benefit of "Open Systems"	David Hand	Presentation	sample, data science	source	7
143	Y a-t-il trop ou trop peu de médecins en un lieu géographique donné	Patrick Descoins		proc step, proc gmap		8

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