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frequency analysis

99 papers and 6 presentations; 95 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2024 How RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values Lisa A. Mendez source 9
SESUG 2023 Predicting Employees' Preference for Remote or On-site Jobs Livingstone Gadzanku source 10
PHUSE US 2023 Metadata Driven Creation of TLF Programs by Using JSON Data File [presentation] Linshan Yuan,
Sheng-Wei Wang		 source
video		 18
PharmaSUG 2022 How RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values Lisa A. Mendez source 10
PharmaSUG 2021 Macro Development from Design to Implementation Applied to Occurrence Data Frequency Analysis Chengxin Li,
Michael Pannucci,
Toshio Kimura		 source 9
SESUG 2020 Using GENMOD to Calculate Prevalence Ratio for Concussion and Suicidal behaviors among U.S. High School Students Abbas S. Tavakoli source 13
SGF 2020 Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt Alex Chaplin source 16
SGF 2020 Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS Viya Yuwei Liao source 24
SESUG 2019 Using SAS to examine peripheral intravenous access using ultrasound guided Abbas S. Tavakoli,
Courtney Prince,
Stephanie Burgess		 source 6
MWSUG 2019 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes 22
PHUSE EU 2018 Collinearity in Mixed Models John Hendrickx source
presentation source		 11
WUSS 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
PharmaSUG 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 23
PharmaSUG 2018 Let's Start Something New! A Beginner's Guide to Programming in the SAS CAS Environment Kevin Russell,
Gerry Nelson		 source 15
SESUG 2017 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
SESUG 2017 Identifying Semantically Equivalent Questions Using Singular Value Decomposition Varsha Reddy Akkaloori source 7
SGF 2017 Construction of a Disease Network and a Prediction Model for Dementia Jinwoo Cho source 14
SGF 2017 Time-Frequency Analysis Using SAS Michael J. Leonard,
Wei Xiao,
Arin Chaudhuri		 source 5
SGF 2017 Using a SAS Macro to Calculate Kappa and 95% CI for Several Pairs of Nurses of Chemical Triage Abbas S. Tavakoli,
Joan Culley,
Jane Richter,
Sara Donevant,
Jean Craig		 source
pdf		 10
SGF 2017 Using PROC SEVERITY to Evaluate Quantile Approximation Techniques for Compound Distributions Helgard Raubenheimer,
Riaan de Jongh		 source 11
SESUG 2016 Using SAS to Examine the relationship between primary caregivers' Adverse Childhood Experiences (ACE) and Child Abuse Allegations Abbas S. Tavakoli,
Kate K. Chappell,
Senna Dejardins		 source 9
SGF 2016 Missing Values: They Are NOT Nothing Justin Jia,
Shan Shan Lin		 source 19
SGF 2016 Product Purchase Sequence Analyses by Using a Horizontal Data Sorting Technique Justin Jia,
Shan Shan Lin		 source
presentation		 11
SGF 2016 Using GENMOD to Analyze Correlated Data on Military Health System Beneficiaries Receiving Behavioral Health Care in South Carolina Health Care System Abbas S. Tavakoli,
Jordan Brittingham,
Nikki R. Wooten		 source
presentation		 10
SESUG 2015 A SAS Algorithm for Imputing Discrete Missing Outcomes Based on Minimum Distance Minimum Distance source 7
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
WUSS 2015 Yes, PROC FREQ does that! AnnMaria De Mars source 15
WUSS 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Mary Federico Katz,
Jason R. Beene		 source 13
SGF 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2015 Modelling Operational Risk Using Extreme Value Theory and Skew t-Copulas via Bayesian Inference Using SAS Betty Johanna Garzon Rozo source 20
SGF 2015 Preparing Students for the Real World with SAS Studio AnnMaria De Mars source 18
SGF 2015 Using the GLIMMIX and GENMOD Procedures to Analyze Longitudinal Data from a Department of Veterans Affairs Multisite Randomized Controlled Trial Abbas S. Tavakoli,
Marlene Al-Barwani,
Sue Levkoff,
Selina McKinney,
Nikki R. Wooten		 source 11
SGF 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Jason R. Beene,
Mary Federico Katz		 source 14
WUSS 2014 Different Ways of Calculating Percentiles Using SAS Arun Akkinapalli source 5
WUSS 2014 Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps AnnMaria De Mars source 17
WUSS 2014 You Say 'Day-ta', I Say 'Dat-a' - Processing Your DATA Efficiently and Ensuring Its Integrity Mary Federico Katz,
Jason R. Beene		 source 12
SGF 2014 Implementing Multiple Comparisons on Pearson Chi-square Test for an RxC Contingency Table in SAS Man Jin,
Binhuan Wang		 source 6
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SESUG 2013 Getting Out of the PROC PRINT Comfort Zone to Start Using PROC REPORT Imelda C. Go source 10
NESUG 2013 Using the SAS ODS Report Writing Interface to Produce Codebooks for Survey Data Nancy Cole,
Cassandra Baxter		 20
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2013 Creating a Management-Friendly HTML Report Using SAS ODS Markup, Style Sheets, and JavaScript Robert Mann,
Rosely Flam Zalcman		 source
pdf		 4
SGF 2013 Using SAS to Create Code for Current Triage Systems during Chemical Incidents Abbas S. Tavakoli,
Erik Svendsen,
Jean Craig,
Joan Culley		 source
pdf		 12
NESUG 2012 Yes, No, Maybe So: Tips and Tricks for Using 0/1 Binary Variables Laurie Hamilton 6
SESUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach source 11
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
MWSUG 2012 Random assignment of proxy event dates to unexposed individuals in observational studies: An automated technique using SAS Raymond Harvey,
Dana Drzayich Jankus,
David Mosley		 8
PharmaSUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
SGF 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
SGF 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 20
SESUG 2011 Categorizing the Degradation State of Aircraft Generators using Rank Order Statistics and SAS CLUSTER Procedure Tsung-Hsun Tsai source 6
SESUG 2011 Counting the Ways to Count in SAS Imelda C. Go source 12
SESUG 2011 Smoothing Scaled Score Distributions from a Standardized Test using PROC GENMOD Jonathan Steinberg,
Tim Moses		 source 7
WUSS 2011 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
WUSS 2010 Answering Your Research Questions with Descriptive Statistics Diana D. Suhr source 7
WUSS 2010 Answering Your Research Questions with Inferential Statistics Diana D. Suhr source 10
WUSS 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
MWSUG 2010 Simulating a Simple Solitaire Card Game Using SAS Robert G. Moore 5
SESUG 2010 QC Your SAS and RDBMS Data Using Dictionary Tables Harry Droogendyk source 20
SESUG 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
PharmaSUG 2010 %TABLEMAKER: Data Reporting Made Easy Bernadette H. Johnson 6
PharmaSUG 2010 CDASH Standards for Medical Device Trials: CRF Analysis Parag Shiralkar,
Jennie Tedrow,
Kit Howard,
Laura Fazio,
Daniela Luzi,
Rhonda Facile		 8
PHUSE EU 2009 Accelerate Clinical Development through Management of Data Quality [presentation] David Smith source 30
WUSS 2009 Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export Keiko I. Powers source 10
MWSUG 2008 Exploring Efficient Ways to Collapse Variables Yubo Gao 5
NESUG 2008 Cryptography, The Art of Disguising The Written Word David W. Franklin 5
SGF 2008 BFF: Binary Flags Forever (Or, Boole's Paradise) David J. Pasta,
Eric P. Elkin		 source 9
SGF 2008 Operational Risk: Economic Capital (EC) Modeling with a Loss Distribution Approach Sabri G. Uner source 14
SGF 2008 Start Improving Your Data Quality with %FreqAll Toby Dunn source 10
NESUG 2007 Creating Multiple Cohorts Using the SAS Data Step Jonathan Steinberg 9
WUSS 2007 BFF: Binary Flags Forever (Or, Boole's Paradise) David J. Pasta,
Eric P. Elkin		 source 8
MWSUG 2006 Matched Case-Control Techniques: A Data Manager's Case Study Matt P Shevrin 12
SESUG 2006 What's really in your data? A quick and easy utility to analyze any SAS dataset Michele Laughlin,
Thom Clay,
Jamila Ervin		 source 9
SESUG 2005 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 source 21
SUGI 2005 Single Event Timing Model with Heterogeneity: Predicting the Time of the First Home Purchase by Immigrants Eugene Brusilovskiy source 9
SUGI 2004 Guiding Your Enterprise with SAS Enterprise Guide David H. Johnson source 16
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
NESUG 2003 Using Visual Basic with SAS to Produce Statistical Reports Matthew Campbell 10
SEUGI 2003 An Analytical CRM System to support Telecom Italia Marketing Actions [presentation] Maria Luisa Pensa source 33
SEUGI 2003 Making the most of Business Intelligence with SAS Data Quality [presentation] Paul Padley source 37
NESUG 2002 Stupid Data Tricks - Techniques for Getting Your Output to Behave John J. Cohen 7
WUSS 2002 Doing More with Proce FREQ Using Options and ODS Richard Severino source 13
SEUGI 2002 Making Your Data a Strategic Asset [presentation] Tony Fisher source 29
SUGI 2002 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
NESUG 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell 10
NESUG 2001 On the Relationship between Format Structure and Efficiency in SAS Perry Watts 9
SCSUG 2001 Implementing Digital Analysis Using SAS Thomas J. Winn Jr. 4
SCSUG 2001 The Metamorphiosis of a Study Design Marge Scerbo,
Craig Dickstein		 9
SEUGI 2001 Testing for the geographic representativeness of data subsets - The Nugget Effect or Degress of Difficulty [presentation] Frederick D. Busche source 21
SUGI 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2001 Who Needs to Know Program Syntax When You've Learned Enterprise Guide Stan Andermann,
Dana Rafiee		 source 6
WUSS 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SUGI 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SUGI 1997 Manipulating Clinical Research Data with the TRANSPOSE Procedure in SAS/ASSIST Software Stanley Cron source 2
SCSUG 1996 Fishing for Exactness Ted Pedersen 13
SEUGI 1996 PADRES: a system supporting the user friendly access and analysis of pharma Chemical Production Data B. Rutishauser,
H.W. Schrader,
Th. Graf		 source 44
NESUG 1994 Exploratory Data Analysi When You Don't Have SAS/INSIGHT Michael A. Walega 10
SUGI 1994 Integrating Statistical Information into Graphical Displays Susan J. Kenny source 10
SCSUG 1993 Responses to Open-Ended Survey Questions: What To Do Paul E. Pope 4
SEUGI 1993 Analysing Multiple Response Survey Data: An Overview of Strategies and Methods Paul E. Pope source 8
SUGI 1993 Analyzing Multiple Response Survey Data: An Overview of Strategies and Methods Paul E. Pope source 6
SCSUG 1991 Evaluating Efficiency Techniques Used in the Processing of Large Data Files Alfred W. Ey 17
SUGI 1987 Optimizing IBM PC Systems for SAS Software Paul L. Marsh source 4
SUGI 1982 Repeated Measures Analysis for Program Evaluation Garrett K. Mandeville source
SUGI 1982 Transposing Data Donald J. Henderson source 7

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