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61 papers and 1 presentation; 56 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2023 Fitting Logitoid-Normal distributions with MLE estimate by SAS SEVERITY and FCMP procedures Lili Huang,
Helen Dong,
Yuanyuan Liu		 source 8
PHUSE EU 2022 GSK Diversity Paper: The Challenges We Faced with Real-world Data Harrison James,
Chris Leach		 source
presentation source		 43
SAS Explore 2022 Quantifying the Risk of Flood and Value at Risk [video] Mathilda Julin source
SGF 2021 A SAS Macro to Perform Bootstrapping for Internal Validation of Time-Dependent Area Under the Curve Jialin Han,
Jiali Ling,
Maria E. Montez-Rath,
Margaret R. Stedman		 source 9
MWSUG 2019 Logistic Regression, Basics and Beyond Bruce S. Lund 35
SGF 2019 Multiple Imputation for Skewed Multivariate Data: A Marriage of the MI and COPULA Procedures Zhixin Lun,
Ravindra Khattree		 source 9
SGF 2019 SuperFreq: using the REPORT Procedure to Create Multi-Level Frequency Tables Jedediah J. Teres source 17
SESUG 2018 Five Crazy Good Visualizations and How to Plot Them David Mintz source 12
PharmaSUG 2018 An Investigation of Distribution Distance Measures Charity del Sol,
James E. Blum		 source 12
PharmaSUG 2018 Using SAS GTL to Visualize Data When there is Too Much of It to Visualize Nathaniel Derby,
Perry Watts		 source 22
MWSUG 2017 Unconventional Statistical Models with the NLMIXED Procedure Robin High 14
SGF 2017 Tables and Graphics That Will FREQ You Out Kathryn McLawhorn source 21
SESUG 2016 Sankey Diagram with Incomplete Data - From a Medical Research Perspective Sankey Diagram source 14
PHUSE EU 2016 Probability Plots as an Instrument for Comparing Distributions Holger Langkabel source
presentation source		 9
MWSUG 2016 The Power of Cumulative Distribution Function (CDF) Plot in Assessing Clinical Outcomes Min Chen,
Patricia Kultgen		 6
SESUG 2015 Successful Ways to Add and Drop Data, While Also Reformatting Data Adetosoye Oladokun source 11
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 Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 Balamurugan Mohan,
Goutam Chakraborty		 source 18
SGF 2015 Validation and Monitoring of PD Models for Low Default Portfolios Using PROC MCMC Machiel Kruger source 16
PHUSE EU 2014 Analysis of Time to FDA Medwatch Safety Alert for Therapeutic Monoclonal Antibodies Pavla Kadlecová,
Vid Stanulovic		 source
presentation source		 5
PHUSE EU 2014 Analysis of Time to FDA Medwatch Safety Alert for Therapeutic Monoclonal Antibodies Pava Kadlecova,
Vid Stanulovic		 source
presentation source		 5
WUSS 2014 Different Ways of Calculating Percentiles Using SAS Arun Akkinapalli source 5
SGF 2014 An Investigation of the Kolmogorov-Smirnov Nonparametric Test Using SAS Tison Bolen,
Dawit Mulugeta,
Jason Greenfield,
Lisa Conley		 source 8
SGF 2013 Using the QUANTLIFE Procedure for Survival Analysis Bob Rodriguez,
Guixian Lin		 source 13
SGF 2012 Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer Manojkumar B Agravat source 40
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
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SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
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WUSS 2011 Producing Cumulative Distribution Frequency Figures with Minimal Important Difference Reference Lines to Assess Quality of Life Treatment Effects Xiao Liu source 7
WUSS 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Nathaniel Derby source 22
MWSUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
NESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
WUSS 2010 From Novice to Intermediate in (Approximately) Sixty Minutes: III. Presentation AnnMaria De Mars source 15
PharmaSUG 2009 Stacked Cumulative Percent Plots Theresa Gilligan 10
SGF 2009 Reject Inference Techniques Implemented in Credit Scoring for SAS Enterprise Miner Billie Anderson,
Susan Haller,
Naeem Siddiqi		 source 11
PharmaSUG 2008 The Power of PROC GPLOT in Statistical Analysis of Clinical Studies Aiming Yang 13
SESUG 2007 Generating Random Numbers from a Discrete User Defined Distribution Amy Boulris source 6
MWSUG 2007 SAS Graphs for BlackBerry, iPhone, PowerPoint, Word, Web/HTML, PDF, or RTF LeRoy Bessler 44
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
NESUG 2006 How To Produce Almost Perfect RTF Output Suzanne M. Dorinski 20
WUSS 2005 Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG Tyler C. Smith,
Besa Smith		 source 18
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
SUGI 2003 Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
WUSS 2002 Doing More with Proce FREQ Using Options and ODS Richard Severino source 13
WUSS 2001 A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
WUSS 2001 Estimating and Interpreting Ordered Regression Models using PROC PRINT Kenneth Fernandez source 5
SUGI 2001 Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS Tyler C. Smith,
Besa Smith		 source 9
WUSS 2000 Graphing the Probability of Hospitalization as a Function of Time Using Estimates and the SAS System's PROC PHREG Tyler C. Smith source 7
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
SEUGI 1998 A SAS/IML algorithm for maximum likelihood estimation in the Three Parameter Burr XII Distribution Alan John Watkins source 7
SEUGI 1998 Simulation of the probability of disease due to a toxic release Fuming Wu,
Huei Wang,
Raymond A. Gibley,
Wanzer Drane		 source 5
NESUG 1997 A Self-Organizing Median-Estimation Model Susan B. Garavaglia 9
SEUGI 1997 Modelling of road deterioration including lifetime distribution and the Cox model Emmanuel Courilleau source 11
SUGI 1997 Statistical Methods for Reliability Data Using SAS Software William Q. Meeker,
Luis A. Escobar		 source 10
NESUG 1994 Using SAS to Simulate Questionnaire Style Data John F. Walsh 3
SUGI 1994 Using SAS Software to Simulate Questionnaire Style Data John F. Walsh source 2
SUGI 1992 A SAS Program to Analyze Statistical Distribution of Airborne Material D. Manco,
F. Caiffa,
T. Tirabassi,
S. Corsi		 source 5
SEUGI 1989 Goodness Of Fit Tests And Goodness Of Homogeneity Tests With The SAS System C. Derquenne source 11
SUGI 1988 Predicting Equipment Failure Using Weibull Analysis and SAS Software Bruce Kay,
Douglas E. Price		 source 6
SUGI 1987 Graphical Presentation of Product Pricing Vicki G. Morwitz,
Theodore F. Rose		 source 3
SUGI 1986 Utilizing Macro XMEDAGE to Obtain an Interpolated Median Age Frances N. Bari source 6
SUGI 1981 A Macro for Two-Population Nonparametric Univariate Discriminant Analysis William A. Blattner,
Donald J. Henderson		 source 6

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