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random sampling

134 papers and 3 presentations; 122 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty
source 15
WUSS 2023 Survey Data Analysis in SAS Denis Nyongesa,
Marianne Jurasic,
Gregg Gilbert,
Tamara Lischka
source 11
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
SGF 2021 Survey Data Analysis Made Easy With SAS Melanie Dove,
Katherine Heck
source
presentation
8
SGF 2020 %SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building David R. Nelson,
Siew Wong-Jacobson
source 20
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
PharmaSUG 2019 An Application of Supervised Machine Learning Models on Natural Language Processing: Classifying QC Comments into Categories Xiaoyu Tang,
Todd Case
source 10
SGF 2019 Generating Synthetic Instruments for Stress Testing: Machine Learning and Econometrics in SAS Viya Rocco Cannizzaro,
Christian Macaro
source 8
MWSUG 2018 Bootstrap Linear Mixed-Effects Models using SAS Procedures Adams Kusi Appiah 17
SESUG 2017 SAS In The Classroom: Exploratory Data Analysis with SAS Studio Jonathan W. Duggins source 20
WUSS 2017 Analysis of Complex Survey Data with SAS Christine Wells source 6
SGF 2017 Choose Carefully! An Assessment of Different Sample Designs on Estimates of Official Statistics Leesha Delatie-Budair,
Jessica Campbell
source 14
SGF 2017 Estimation Strategies Involving Pooled Survey Data Taylor Lewis source 15
SGF 2017 Not So Simple: Intervals You Can Have Confidence In with Real Survey Data David A. Vandenbroucke source 12
SGF 2016 Redesigning Control Using the GMATCH Algorithm to Isolate Impact of a Specific Marketing Intervention from Overlapping Solicitations Mou Dutta,
Arjun Natarajan
source
zip
8
SGF 2016 Sampling in SAS using PROC SURVEYSELECT Rachael Becker,
Drew Doyle
source
presentation
18
SGF 2016 The Use of Statistical Sampling in Auditing Health-Care Insurance Claim Payments Taylor Lewis,
Julie Johnson,
Christine Muha
source 18
SESUG 2015 Coder ' s Corner source 10
SESUG 2015 Sampling in SAS using PROC SURVEYSELECT Drew Doyle,
Rachael Becker
source 17
SESUG 2015 Using PROC SURVEYSELECT: Random Sampling Raissa Kouadjo Bordenave source 14
SGF 2015 An Introductory Overview of the Features of Complex Survey Data Taylor Lewis source 22
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Multiple Imputation Using the Fully Conditional Specification Method: A Comparison of SAS, Stata, IVEware, and R Patricia A. Berglund source 17
SGF 2015 Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures Donna Brogan source 20
SESUG 2014 More Hash: Some Unusual Uses of the SAS Hash Object Haikuo Bian,
David Maddox
source 11
SGF 2014 Application of Survey Sampling for Quality Control Yi Du source 8
SGF 2014 Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure Rob Agnelli source 17
SGF 2014 Multivariate Ratio and Regression Estimators Alan Ricardo da Silva source 13
WUSS 2013 Simulation in SAS with Comparisons to R Chelsea Lofland,
Rebecca Ottesen
source 25
SESUG 2013 Evaluating the Accuracy Assessment Methods of a Thematic Raster through SAS Resampling Techniques and GTL Visualizations Robert Seffrin source 7
SESUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis source 12
MWSUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 14
MWSUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis 12
NESUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 15
NESUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis 14
SGF 2013 A SAS Macro for Generating a Set of All Possible Samples with Unequal Probabilities without Replacement Alan Ricardo da Silva,
Igor Ferreira do Nascimento
source
pdf
10
SGF 2013 Considerations and Techniques for Analyzing Domains of Complex Survey Data Taylor Lewis source 12
SESUG 2012 Difference Estimation versus Mean per Unit Methods for Skewed Populations: A Simulation Study John Chantis source 9
MWSUG 2012 Modeling Complex Survey Data Taylor Lewis 16
WUSS 2012 Weighting Adjustment Methods for Nonresponse in Surveys Taylor Lewis source 15
SGF 2012 A Bootstrapped Kappa Statistic for a Multiple-Rater Multiple-Category Problem Yubo Gao source 4
SGF 2012 Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics Patricia A. Berglund source 20
SGF 2012 Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT David D. Chapman source 14
SGF 2012 Using SAS for the Design, Analysis, and Visualization of Complex Surveys Sharon Lohr source 15
SCSUG 2011 Advice to Health Services Researchers: Be Cautious Using the "Where" Statement in SAS Programs for Nationally Representative Complex Survey Data Hemalkumar Mehta source 10
SCSUG 2011 PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? Hemalkumar Mehta source 14
SESUG 2011 PROC SURVEY... Says!: Selecting and Analyzing Stratified Samples Darryl Putnam source 9
MWSUG 2011 Estimating Design Effects for Means, Proportions and Totals from Complex Sample Survey Data Using SAS Proc Surveymeans Trent D. Buskirk 13
MWSUG 2011 SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG Fang Wang,
Hee-Choon Shin
27
SGF 2011 Randomizing Small Strata Groups: Balancing Baseline Population Measures While Staying True to a Chosen Allocation Strategy, an Alternative to PROC SURVEYSELECT Gregg M. Oginz source 12
WUSS 2010 Analyzing Data from Complex Samples Using PROC SURVEYFREQ in SAS 9.2 Kathryn Martin source 7
PharmaSUG 2010 Using PROC SURVEYMEANS to determine the dispensing time of prescriptions in pharmacies in South Africa: A user's perspective Martie Lubbe,
Faans Steyn
12
SGF 2010 BootstrapMania!: Re-sampling the SAS Way David L. Cassell source 11
MWSUG 2009 Handy Procedures to Expand Your Analytics Skill Set Mary F. MacDougall 9
PNWSUG 2009 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
NESUG 2009 Analyzing MCBS Data with PROC SURVEYFREQ: The Maybe Cheesy but Simple Approach Christine E. Leonard 19
NESUG 2009 Using the New SURVEY Procedures From a Modeling Perspective Jonas V. Bilenas 13
WUSS 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2009 Selecting a Stratified Sample with PROC SURVEYSELECT Diana D. Suhr source 6
PharmaSUG 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
SGF 2009 Getting the Most Out of the SAS Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS 9.2 Patricia A. Berglund source 12
SGF 2009 Selecting a Stratified Sample with PROC SURVEYSELECT Diana D. Suhr source 6
PNWSUG 2008 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
NESUG 2008 An Introduction to the SAS Survey Analysis PROCs Xiuhua Chen,
Paul Gorrell
17
SGF 2008 Using DO Statements, Links, and Arrays Jimmy A. DeFoor source 13
NESUG 2007 Using the New SURVEY Procedures From a Modeling Perspective Jonas V. Bilenas 13
WUSS 2007 A Scattered Approach to Quality Control Christina Schmunk,
Komal Sunak
source 10
WUSS 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2007 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
SCSUG 2007 Using Links, Arrays, and Do-Loops Jimmy A. DeFoor 13
PNWSUG 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PNWSUG 2007 Using Links, Arrays, and Do-Loops Jimmy A. DeFoor 13
SGF 2007 Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software Bethany A. Kromrey,
Jeffrey D. Bell-Ellison
source 10
SGF 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
PNWSUG 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
WUSS 2006 Getting Your Random Sample In PROC SQL Richard Severino source 14
WUSS 2006 Sample Survey Data and the Procs you OUGHT To Be Using David L. Cassell source 13
WUSS 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
NESUG 2006 Generate Non-overlapping Equivalent Samples to Match an Existing Distribution in SAS Ying Feng,
Lei Yu
6
SUGI 2006 Getting Your Random Sample In PROC SQL Richard Severino source 14
SUGI 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
NESUG 2005 PROC SURVEYSELECT: A Simply Serpentine Solution for Complex Sample Designs Louise S. Hadden 8
PharmaSUG 2005 Prepare Data Listings with SAS Software for Database Audit Jay Zhou,
Larry Shen
8
NESUG 2004 Analyzing Complex Survey Data: Some SAS-SUDAAN Comparisons Xiuhua Chen,
Paul Gorrell
15
SCSUG 2004 Grid Computing at Texas Tech University using SAS Ronald H. Bremer,
Jerry Perez,
Philip Smith,
Peter H. Westfall
9
WUSS 2004 The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures Katherine L. Baisden source 20
MWSUG 2004 Analysis of Complex Sample Survey Data Patricia A. Berglund 7
PNWSUG 2004 Complex Sampling Meets the Blazing Turkey of Glory David L. Cassell 8
SUGI 2004 Simplified Matched Case-control Sampling Using PROC SURVEYSELECT Robby A. Diseker source 6
WUSS 2003 Selecting a Stratified Sample with PROC SURVEYSELECT Diana D. Suhr source 4
WUSS 2003 The Quandary of Survey Data: Comparison of SAS Procedures and SUDAAN Procedures Katherine L. Baisden source 6
SUGI 2003 Complex Sampling Designs Meet the Flaming Turkey of Glory David L. Cassell,
AnnMaria Rousey
source 8
MWSUG 2002 Easy Interface for SAS --A SAS Applciation on the Windows Platform Zhuan (John) Xu 9
PharmaSUG 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An 10
SUGI 2002 Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding Patricia A. Berglund source 5
NESUG 2001 Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT David D. Chapman 9
NESUG 2001 Using Surveys to Understand the Present and Predict the Future Aliza Heching,
Ying Tat Leung
6
VIEWS 2001 The Version 8 Applied Statistician David Shannon 15
WUSS 2001 How Using Arrays and Formats Allowed Me to Draw 16,000 Random Samples of Specific N without Sorting (and save my hard disk and sanity, too) Miriam G. Cisternas source 4
SESUG 2001 Bootstrapping a Multidimensional Preference Analysis E. Barry Moser,
Xiaoming Liang
source 4
SCSUG 2001 Survey Estimates and Variance Estimation Using SURVEYMEANS Procedure Hossein N. Yarandi,
Shawn J. Kniepp
5
SEUGI 2001 Detecting Procurement Fraud [presentation] Jennifer Major source 33
SEUGI 2001 Enterprise Guide: Delivering Information to the People Who Need to Know [presentation] Adrian Bruty source 21
SESUG 2000 Random Sample Selection Imelda C. Go source 2
NESUG 2000 A SAS Macro for Simple Random Sampling Chang Jiang 3
NESUG 2000 Generating Simple and Complex Random Samples Using the RANUNI Function Rebecca Goldblatt 3
SEUGI 2000 Tracking research of public information campaigns in the Netherlands [presentation] Jaap Veenstra,
Marc Arnold
source 28
SUGI 2000 Pseudo-Random Numbers: Out of Uniform Robert E. Johnson,
Hui Liu
source 3
MWSUG 1999 Enhancement in Easy Interface for SAS - A SAS Application on the Windows Platform John (Zhaun) Xu 9
SUGI 1999 Easy Interface for SAS - A SAS Application on the Windows Platform Zhuan (John) Xu source 9
WUSS 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts
source 11
NESUG 1998 Acceptance Testing of a Large Distributed Information System Using Statistical Resampling Donald T. Gantz 10
SUGI 1998 A Data Access Challenge: Build a SAS Frame Application for Access to an Informix Data Warehouse John E. Bentley source 7
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown
source 24
SUGI 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts
source 11
WUSS 1997 Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania
source 10
MWSUG 1997 Using SAS for Variance Estimation with Complex Sample Surveys Patricia A. Berglund 9
SUGI 1997 Demonstrating Systematic Sampling Julie Wildman-Pepe source 6
SUGI 1997 Implementing Balanced Replicated Subsampling Designs in SAS Software Roland K. Hawkes source 6
SUGI 1997 Interactive Sampling Using SAS/AF Frames Keith Cranford,
Don Boudreaux
source 5
SUGI 1997 LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania
source 6
SCSUG 1996 Sampling Techniques Using SAS Software Keith Cranford,
Don Boudreaux
10
SESUG 1996 SAStistics 101 Robert E. Johnson 8
NESUG 1996 A Two-Stage Cluster Systematic Sampling Program for Clinical Quality of Care Studies Wenbin Mo,
Michael Fleming
3
SUGI 1996 Systematic Sampling for Nonrandom Populations Julie Wildman Pepa source 6
WUSS 1993 Random Sampling Without Replacement Hong Zhou,
Patrick Romano
source 2
SUGI 1993 A SAS Macro to Calculate Standard Errors for Proportions from Simple Random Sampling within Strata Wayne E. Johnson source 6
SUGI 1992 Getting It and Keeping It with SAS Software-Advanced Strategies Sally M. Muller,
Kenneth A. Hardy,
Keith J. Brown
source 7
SUGI 1991 Exact Confidence Intervals for Estimating Proportions When Sampling from a Finite Population How J. Tsao,
Steven M. LaLonde
source 5
SEUGI 1990 CITIDMSP - Citibank's Direct Marketing Software Package Akos Felsovalyi source 12
SEUGI 1990 Stratified Random Sampling from Finite Distribution for Continous Variables Karl Bousek source 13
SUGI 1990 Interactive Random Sampling Ashok Mehta,
Paul H. Bern
source 3
NESUG 1989 Sequential Sampling Techniques and Weighted Analysis Wendell F. Refior 7
SUGI 1989 Using the SAS System to Generate Bibliographies from a Large Data Set Mark A. Crook source 3
SUGI 1988 An Expert Sample Allocation Program James W. Mergerson source 2
SUGI 1987 Use of SAS Procedures for Estimating Design Based Logistic Regression Variances by Balanced Repeated Replication (BRR) Daniel H. Freeman Jr.,
Philip J. Leaf,
Martha Livingston Bruce
source 5
SUGI 1984 A Text Retrieval System Based on Numerical Encoding Nelson R. Pardee source 4

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