| MWSUG |
2024 |
Being A Statistical Expert Witness [presentation] |
|
source |
21 |
| MWSUG |
2024 |
Predicting the Impact of Storms on Utility Customers [presentation] |
|
source |
23 |
| SESUG |
2023 |
Designing Against Bias: Identifying and Mitigating Bias in Machine Learning and AI |
|
source |
9 |
| SESUG |
2023 |
Unobserved Components Models: Applications in Post-COVID Analysis |
|
source |
10 |
| SESUG |
2022 |
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM |
|
source |
12 |
| SESUG |
2022 |
Data for Good: Statistical Volunteering with SAS and How to Get Involved |
|
source |
8 |
| SESUG |
2022 |
Statistical Analysis of School Shootings in the United States as Stochastic Terrorism |
|
source |
8 |
| SGF |
2021 |
Disproportional Impact of COVID-19 on Marginalized Communities |
|
source
presentation |
10 |
| MWSUG |
2019 |
Legislative Action on Human Trafficking: Towards a Data-Driven Policy |
|
|
9 |
| SGF |
2019 |
Capture-Recapture Databases for Data for Good Projects |
|
source |
10 |
| MWSUG |
2018 |
Data For Good as a Community Service Project at Work |
|
|
6 |
| MWSUG |
2018 |
Genocide Modeling - Historical Risk Factors and Odds Ratios |
|
|
5 |
| WUSS |
2018 |
Time Series Analysis of Hate Speech in Social Media |
|
source |
8 |
| SGF |
2018 |
Time Series Analysis of Hate Speech in Social Media |
|
source |
12 |
| MWSUG |
2017 |
Lag Models with Social Response Outcomes |
|
|
9 |
| SGF |
2017 |
Meta-Analysis of Human Trafficking in the United States |
Heather Hill |
source |
8 |
| SGF |
2017 |
Statistical Volunteering With SAS - Experiences and Opportunities |
|
source |
8 |
| MWSUG |
2016 |
Enterprise Architecture for Analytics Using TOGAF |
|
|
10 |
| MWSUG |
2016 |
Statistical Volunteering With SAS - Experiences and Opportunities |
|
|
8 |
| MWSUG |
2016 |
The State of Human Trafficking in the Cincinnati Metropolitan Area - a Statistical Case Study |
Heather M. Hill |
|
8 |
| SGF |
2016 |
Similarity Analysis: an Introduction, a Process, and a Supernova |
|
source |
11 |
| SGF |
2014 |
Model Variable Selection Using Bootstrap Decision Tree |
|
source |
7 |
| SGF |
2014 |
Time Contour Plots |
|
source |
9 |
| MWSUG |
2013 |
Introducing PROC PSYCHIC |
|
|
6 |
| MWSUG |
2013 |
Leading and Lagging Indicators in SAS |
|
|
8 |
| MWSUG |
2013 |
Time Contour Plots |
|
|
11 |
| NESUG |
2013 |
Model Variable Selection Using Bootstrapped Decision Tree |
|
|
8 |
| NESUG |
2013 |
Time Contour Plots |
|
|
11 |
| SGF |
2013 |
Maximizing the Power of Hash Tables |
|
source |
8 |
| SGF |
2013 |
Nontemporal ARIMA Models in Statistical Research |
|
source |
10 |
| NESUG |
2012 |
Introduction to Statistics with Wavelets in SAS |
|
|
11 |
| NESUG |
2012 |
Leading and Lagging Indicators in SAS |
|
|
8 |
| MWSUG |
2012 |
Are You Dense? Using Kernel Density Estimation (KDE) to Connect the Dots Amidst Uncertainty |
Stephen Crosbie |
|
8 |
| MWSUG |
2012 |
Customer Sentiment Imputation Using Hash Tables |
|
|
8 |
| SGF |
2012 |
Dynamically Evolving Systems: Cluster Analysis Using Time |
|
source |
9 |
| MWSUG |
2011 |
Contour Plots for Time Series Analysis |
|
|
11 |
| MWSUG |
2011 |
Dynamically Evolving Systems: Cluster Analysis Using Time |
|
|
12 |
| NESUG |
2011 |
Dynamically Evolving Systems: Segmentation and Cluster Analysis Using Time |
|
|
11 |
| MWSUG |
2010 |
Kernel Density Estimation As an Alternative to Binning of Survey Data |
|
|
6 |
| MWSUG |
2009 |
Time Series Analysis 101: an introduction using Base SAS and SAS STAT |
|
|
7 |
| SGF |
2009 |
Enhancements to Maps Using the Annotate Data Set |
|
source |
7 |
| MWSUG |
2006 |
Association of Computer Operator Errors and Lunar Phases |
|
|
4 |
| MWSUG |
2006 |
Enhancements to Maps Using the Annotate Data Set |
|
|
7 |
| SUGI |
2003 |
Ring Charts |
|
source |
5 |
| MWSUG |
2000 |
Ring Charts |
|
|
7 |
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