NESUG 1989 Papers - Index

41 papers. Source: NESUG (Northeast SAS Users Group) conference proceedings.

#	Title ×	Authors ×	Abstract ×	Keywords ×	Pages
1	A Production Reporting System Using SAS	Mike Keohan		macro variable, proc step, macro loop, data step, input statement, proc format, if-then-else, report year, macro definition, macro conditional, dataset	7
2	A Trauma Registry System Using the SAS System and dBASE III Plus	Andrew Greenleaf, Sivaram Kalyandrug	ARC Professional Services Group (fonnerly ORI, Inc.) has developed a clinical Trauma Registry System to capture injury related data, generate reports, and perfonn statistical analysis. For data entry and management of the registry, dBASE m PLUS/Clipper was utilized because of its efficiency and speed in processing a large number of data elements distributed across different files. PC/SAS Version 6.0 provided the extensive statistical and analytical support needed for report generation and analysis	data integrity, data science	8
3	A Variation in PROC GPLOT for Presentation of SPMR Data	Patrick J. Roohan, Michael S. Zdeb		proc gplot, proc step, confidence interval, data step	6
4	Adjusting Time Series Data	Jim Wimbish		time series analysis, missing value, time series data, proc step, capacity planning, proc format, trend analysis, macro facility, macro conditional, regression analysis, macro definition	9
5	Advanced SET and MERGE Processing	Robina G. Thornton, Merry G. Rabb		set statement, data step, merge statement, do loop, point= option, by group processing, %if-%then-%else, macro definition	11
6	An Introduction to SAA REXX for SAS Programmers	Chapman P. Gleason	This paper will give an	dataset, macro definition, proc step, data step, macro facility	13
7	An Introduction to SAS/AF	Marge Scerbo		proc step, catalog, dataset, macro variable, data cleaning	5
8	Challenging Mapping Problems	Karen G. Malley		proc step, by group processing	10
9	Computer Performance Evaluation for Mainframes and Mini-computers	Christy Garrison		batch job, sample, bar chart	12
10	Configuring Your PC To Run The SAS System	David C. Brumitt	While performance will not be good, Release 6.03 of the SAS*··System lor personal computers will run under PC-DOS on a PC/XT'"or compatible with 1 0 megabytes of disk space and 640 K of RAM. Good performance requires a machine with considera bly more system resources. Relaeas 6.06, which will run under OS/2:" will deliver excellent performance but will require a machine with dramatically more resources. This paper discusses how to configure a PC to achieve the kind of performance with which you will be satisfied running PC-DOS or OS/2		4
11	Conquering the Dreaded Macro Error	Katie A. Hubbell	The Macro facility is a very powerful tool in SAS* programming. It can, by the same token, cause some rather powerful and intimidating errors when mistakes are made or it is used improperly. This paper highlights some common errors and their probable causes, and provides programmers new to Macro with a modular ''checklist'' approach to writing Macros so as to avoid most of these pitfalls. Also discussed are methods of testing and debugging Macro code to minimize confusion when errors do occur	macro variable, %if-%then-%else, macro loop, do loop, macro put, proc print, macro definition, error, proc step, sample, macro quoting function, macro call, macro facility	9
12	Converting Data Between "Foreign" Formats and SAS System Files	Ronald P. Cody	This paper will discuss ways to move data from such formats as ASCII, Lotus, and dBASE to a SAS system file. Included in this discussion will be the moving of SAS system files from other platforms (such as UNIX) to system files on PC 1 s. `PROC DIF`, DBF, CPORT, and CIMPORT will be discussed as well as a non-SAS Institute package, DBMS/COPY which translates data between a variety of formats, including SAS system files. The special problems of missing values and incompatible formats is also addressed. I. Reading Data from an External ASCII file. One common way for users to enter data into a micro-computer is with a wordprocessing package. Several such packages write directly in ASCII format such as PCWRITE and WordStar (non-document mode only). Others use their own proprietary format such as Word Perfect and Multimate. These latter packages contain translation routines which can convert their internal format to standard ASCII	proc step, missing value, character variable, input statement, sas log, proc cimport, proc cport	8
13	Displaying Taxonomic Data Anaylses Using SAS/GRAPH	Dan Jacobs	Taxonomic studies frequently include cluster, princi pal component and principal coordinate analyses of the similarity between organisms derived from physiological data, RNA sequences, and results from DNA homology experiments. Similarity triangles, dendrograms, princi pal coordinate plots are examples of graphical displays that assist the interpretation of the results. SAS and `SAS/GRAPH` have a number of procedures which per form the data analyses and produce plots (e.g., `PROC CLUSTER`, `PROC PRINCOMP` and `PROC GPLOT`). Dendrograms produced with `PROC TREE` are hard to in terpret and no procedure produces similarity triangle graphs. This paper demonstrates that these graphs can be created using some creative data manipulation and	proc step, proc cluster, data visualization, proc princomp, cluster analysis, proc tree, proc gplot, confidence interval	7
14	Efficiency Techniques for Improving I/O and Processing Time in the DATA Step	Neil H. Howard	Saving money is uppermost in the mindsofDP managers. and the SAS System is certainly a "program mer efficient" tool: minimal SAS code is required to perform traditionally code intensive tasks. Gratification and and results are immediate. A familiar quote suggests that the SAS System is easy to use. and just as easy to abuse. Because the SAS System is becoming increasingly popular as a development tool. it is essential to evaluate techniques for its effective use. This tutorial will define efficiency. suggest factors to be considered in measuring efficiency. and provide comparisons of techniques that improve efficiency. A primary area where the SAS System can be used more effectively is 110. II should be noted that over 90% of the processing time in any given program involves reading and/or writing data (reference 1 ). This tutorial will illustrate how to avoid unnecessary 1/0, minimize passes of the data. and control read-write loops	proc step, conditional do loop, dataset, if-then-else, proc format, put statement, proc append, formatted input, raw data, set statement, sample, list input, input statement, proc means	6
15	Efficient Processing of Large Datasets	Howard Levine		proc step, data step, dataset, by group processing, proc means, cpu time, conditional do loop, sample, binary variable, format statement, proc freq, length statement, proc sort, macro definition	10
16	Good Code, Bade Code: Strategies for Program Design	Frank C. DiIorio		proc step, out=	7
17	Integrated Clinical Information Systems for Traditional and Non-traditional Users	Martin J. Rosenberg	Increasingly, pharmaceutical companies are attempting to enhance productivity by expanding the scope of their clinical information systems to embrace non traditional users such as: investigators, in-house clinical staff, and FDA reviewers. As these systems become commonplace, companies are confronted with the prospect of having up to five different computer systems, each with incompatible data structures: a remote data entry system; a database management system for traditional data entry; a clinical data review system for use by in-house clinical staff; a statistical analysis system; and a computer assisted NDA review system (CANDA)	dataset, proc step, proc sql, data science, clinical data, data review, relational database, clinical trial, proc print, pharmaceutical industry	8
18	Introducing New Documentation for the SAS System	Helen Wolfson, Brenda Kalt		sas base, proc step	5
19	Introduction to CPE Using the Mainframe and the PC	Bruce L. Green		sas base, proc step	9
20	Introduction to SAS Arrays: Give Your Tedium to the Computer	Tom Marx		variable, proc print, proc step	7
21	Introduction to the Macro Language	Sandra Hendren		macro facility, macro variable, error message, macro definition, proc step	5
22	Introduction to Version 6 SAS/AF and SCL	Ben Steffen	This paper introduces Version 6 `SAS/AF`, a powerful application development and prototyping tool. It reviews basic AF capabilities, components, and hardware requirements for developing applications. The use of the `BUILD` procedure, particularly for constructing PROGRAM entries with the Screen Control Language (SCL) is described. Finally, the paper presents several alternatives for improving application performance and window appearance, using a case-study approach. n. Introduction The SAS(It> System offers the most comprehensive set of decision and analysis support tools on the market today. Yet, as users of SAS for personal computers, we've all listened to the claims made by developers of other packages over the last several years. At times, we have felt as though PC-SAS was a 50-diskette weakling -- too complex for the average PC user and not sophisticated enough to support the development of "stand-alone" applications. In many ways, the world seemed to have passed us by	length statement, dataset	7
23	Modular Course Design	Kim Burch		select, data science	7
24	SAS in the Insurance Office: 6 Ways to Present Data	David S. Rubin		proc step, proc print, sample, insurance, health insurance, data analyst, proc gmap, sas output	14
25	SAS Macro Environments: Local and Global	Sandra Hendren		macro variable	7
26	SAS Macros and a SAS/AF Menu System for Reading COMPUSTAT Files	Christian Vye, Craig Dickstein		macro variable, proc step, macro call, %if-%then-%else, macro definition, proc print, if-then-else, dataset, sample	6
27	Say it With Picturesd -- Getting Started with SAS/GRAPH	Neil H. Howard		proc step, proc freq, bar chart, proc gplot	4
28	Sequential Sampling Techniques and Weighted Analysis	Wendell F. Refior	Sampling is sometimes downplayed in the graduate statistics curriculum and survey data analysis is usu ally only learned on the job. This paper presents	sample, sample size, random sampling, proc calis, cluster sampling, confidence interval	7
29	Supporting Academic Statistics: SAS and the Individual Researcher	Richard White		data step, multiple regression	2
30	Supporting SAS Users in a University: Where is the Future ?	Jean Hardy		sas consultant, data science	4
31	The Analysis of Repeated Measurement Designs	Jean Hardy		anova, proc genmod, covariance, ancova, proc step, trend analysis, factor analysis, proc anova, proc glm	7
32	The CIVE Program: A Quality Assurance Program for Clinical Study Data	Joyce Bartner		crf, error message, laboratory data	8
33	The Consultant's Rehearsal: Good Clients and Good Consultants are Hard to Find and Harder to Keep	Judie Mopsik, Tom Marx			9
34	The Right Approach to Learning PROC TABULATE	Bob Virgile		proc tabulate, proc step, proc means, format statement, sample	9
35	The SAS Supervisor	Donald J. Henderson		dataset, by group processing, set statement, merge statement, keep statement, drop statement, sas programmer, execution phase, proc step, automatic variable	7
36	Using PROC QPRINT to Create Lists and Tables	George E. Demuth	The purpose of clinical trials is to obtain FDA approval for pharmaceutical products. The conduct of Phase II and Phase III studies usually requires extensive data collection and analyses. `PROC` QPRINT can be used to improve efficiency in the creation of lists of data and summaries included in an NDA. This paper introduces `PROC` QPRINT and discusses ideas for creation of lists and tables	proc step, proc print, clinical trial, macro definition	4
37	Using SAS to Build a Clinical Data System from Billing Data in a Hospital Environment	Gary L. Katsanis		batch processing, by group processing	4
38	Using the SAS System for Strategic Health Planning	Stephan Parente		proc step, proc means, proc sort, insurance claims	3
39	Using TSO CLIST and ISPF for Generating SAS Programs	Hallett German		_eof_, macro definition	7
40	Waiting for Version 6 (VMS)	Giles Strekel	There are some steps that can be taken to facilitate the implemen tation of Version 6 of SAS, but there are strengths to the VMS environment that should be con sidered regardless of which version of SAS is being used	macro variable, proc print	4
41	What You Can Expect With Release 6.06 of the SAS System	Barbara H. Pendergrass		proc step, time series analysis	3

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