HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

SUGI 1977 Papers - Index

31 papers. Source: SAS Users Group International conference proceedings.

# Title
×
Authors
×
Abstract
×
Keywords
×
Extras Pages
1 A General SAS Macro for Performing Weighted Least Squares Wanda H. Burton regression analysis, proc reg source 3
2 A Parsimonious Approach to Data Transformations J. Philip Miller sample, proc step, proc nlin, correlation source 5
3 A SAS Macro Set to Produce Maps of Spatially Disposed Information Daniel M. Chilko dataset, proc step source 3
4 A SAS76 Data Management System Design Ingrid A. Amara proc step, sample source 13
5 A User's Point of View of the GLM Procedure in SAS76 George C. Chao proc genmod, proc step, proc glm, standard deviation source 2
6 Accessing Census Summary Tape Files in SAS Daniel M. Chilko data science, dataset source 3
7 Clinical Data Management and Report Writing Robert J. Bronstein An in-depth discussion of data management, multi-files, an~ report writing using SAS.76. Attention will be given to methods of reducing cOre and disk .pace as well as dynamically allocating report formats macro definition, dataset source 6
8 Creating a Running Mean of the Last K-Observations Lagged L-Observations Glenn A. Augustine,
Terry M. Therneau
proc step, moving average source 2
9 DATALOOK, a Series of Macros for Descriptive Statistics William R. Gjertsen proc step, sample source 7
10 Error Term for Latin Square Whole Plots John P. Sall source 1
11 Formatted Tables in SAS76 E. R. Delong,
M. A. Foulkes
put statement, proc calis source 7
12 Generating a Main Effects Design James H. Goodnight main effect source 1
13 Histogram Creation with SAS Program Statements Rodney H. Strand,
M. L. Tharp
histogram, proc freq, sample source 2
14 Hospital Survey Data Management Using SAS76 Philip James Busby sample, stratified sampling source 6
15 Interfacing a General Factoring Program with SAS: PROC MUFACT Richard J. Hoffman,
Joseph C. Simpson
correlation, factor analysis, sample, proc step, dataset, regression analysis, partial correlation source
16 Kruskal-Wallis and Friedman Tests in SAS John P. Sall anova, proc step source 1
17 Managing the Software/People Trade-Off Thomas D. Lutz The objective of this paper is to give scientifi cally and technically orLented individuals some Insight Into the difficult ~n.age:ment process 'of choosing between software packages and people. Although the management community wants to make decisions based on the sc.ientlfi~ analysTs of facts, maximizing resource productivity Is often the result of perplexing experiences and intu Itive judgments. Consequently, this brief docu ment wIll expose the reader to such nan-scientif it parameters as emotion~ enviro"me"t~ prof't~ expenses. productivity. pride of authorship. verbal communication, etc. As Dr. Gerald M. "WeTnberg so aptly states, "Com puter programming is a human activity. 4 Either you can program or you cannot. Some have Iti some donlt." l As a result, an" investigation Qf the software/peopl e trade-off is reall y a -·ques tton about' people - and using the peop~e resource most effeGtively sas programmer, data science source 3
18 PROC DAMCOE - SAS 72 Procedure for Landsat Registration Paul D. Hopkins character variable, numeric variable source 4
19 PROCEDURE WILCOX - A SAS-76 Procedure for Estimating the Ratio of Two Random Variables K. Deva Kumar,
Rodney H. Strand
sample, cv, sample size, confidence interval, outlier source 6
20 Producing Kolmogorov-Smirnov Statistics and Plotting Empirical Distributions William R. Gjertsen,
Frank E. Harrell Jr.
sample, normality test source 7
21 Producing SAS Files from Larger Master Files for a Clinical Research Project Frank E. Harrell Jr. missing value, dataset, macro definition, numeric variable source 3
22 Really General Linear Multivariate Model Analysis Alvin M. Best III,
Ronald W. Helms
proc step, response variable, proc genmod, proc glm, correlation source 6
23 Retrieval and Analysis of Clinical Data Using SAS 76 Procedures H. S. Greenburg,
David W. Johnson,
Michael S. Lajiness,
G. L. Schooley
anova, put statement, proc step, proc printto, proc genmod, proc glm, by group processing source 4
24 Retrieval and Reporting of System Data Sets John P. Sall sample, infile statement source 7
25 SAS - GLM Procedure and Analysis of Variance O. P. Hackney,
Ronald R. Hocking,
F. Michael Speed
anova, main effect, proc glm, proc genmod source 7
26 SAS 76 in Public Health Research Robin Layland data science, data governance source 3
27 SAS as Programming Tool and Central Data Interface with Other Statistical Software Douglas Cockrell,
Mike Foxworth,
Gary Griepentrog
proc step, proc genmod, missing value, proc print, regression analysis, proc glm, variable list, time series analysis, covariance, anova, correlation, proc freq source
28 Some Graphical and Statistical Descriptions of Interactions Paul N. Hinz treatment effect, anova, outlier source 5
29 The Analysis of Dissolution Data Using SAS Daniel M. Chilko,
Stephen Howard,
John W. Mauger
covariance, anova, degrees of freedom source 6
30 The Use of SAS in Teaching Advanced Statistical Methods Nancy L. Elliott,
William A. Fowers
proc glm, anova, proc genmod, discriminant analysis, factor analysis, proc freq, proc step source 3
31 Using SAS for Multivariate Analysis When the Variance Matrix Is Singular William J. Wilson sample, goodness of fit source 3

Back to Conf go 1978 go 1976

This site serves as a convenient hosting location and does not work as a publisher. All copyrights belong to their respective owners.

The information on this site is provided for general reference purposes only. Whilst every effort is made to ensure that the site is up to date and accurate, no warrant, nor any responsibility or liability for, the accuracy or completeness of the content or for any loss which may arise from reliance on information contained in this site is provided. Links to other sites are provided for your convenience but no responsibility or liability for the content of those sites or of any external site which links to this site is accepted. References to any specific commercial product, process, service, or corporation are also for information only, and do not constitute endorsement, recommendation or favoring.

SAS is a registered trademark of SAS Institute Inc. SAS, Statistical Analysis System, and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.