| SESUG |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
|
source |
21 |
| PharmaSUG |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
|
source |
21 |
| PharmaSUG |
2021 |
Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity |
|
source |
23 |
| SGF |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
|
source
presentation |
20 |
| SESUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
|
source |
13 |
| SGF |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
|
source |
13 |
| PharmaSUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
|
source |
14 |
| PharmaSUG |
2020 |
You Are Using PROC GLM Too Much (and What You Should Be Using Instead) |
Peter L. Flom |
source |
15 |
| PharmaSUG |
2019 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Karlen Bader |
source |
21 |
| PharmaSUG |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Karlen Bader |
source |
23 |
| SGF |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
|
source |
23 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Henry M. Jackson |
source |
22 |
| SESUG |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Henry M. Jackson |
source |
23 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Quality Control for Big Data: How to Utilize High Performance Binning Techniques |
Karlen Bader |
|
12 |
| MWSUG |
2018 |
Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Karlen Bader |
|
23 |
| WUSS |
2018 |
From Student to Expert: Leveraging SAS Conferences as Professional Development Opportunities |
|
source |
6 |
| WUSS |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
|
source |
21 |
| WUSS |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
|
source |
23 |
| PharmaSUG |
2018 |
Multicollinearity: What Is It and What Can We Do About It? |
|
source |
13 |
| SGF |
2018 |
Data Quality Control for Big Data: Preventing Information Loss with High-Performance Binning |
|
source |
9 |
| SGF |
2018 |
Ridge Regression and Multicollinearity: An In-Depth Review [presentation] |
|
source |
21 |
| SESUG |
2017 |
Data Quality Control: Using High Performance Binning to Prevent Information Loss |
Henry M. Jackson |
source |
9 |
| SESUG |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
Henry M. Jackson |
source |
12 |
| MWSUG |
2017 |
Data Quality Control: Using High Performance Binning to Prevent Information Loss |
Lakshmi Nirmala Bavirisetty |
|
9 |
| MWSUG |
2017 |
Exploring the Relationship Between Substance Abuse and Dependence Disorders and Discharge Status: Results and Implications |
|
|
25 |
| WUSS |
2017 |
Is My Model the Best? Methods for Exploring Model Fit |
|
source |
7 |
| WUSS |
2017 |
Multicollinearity: What Is It and What Can We Do About It? |
|
source |
12 |
| PharmaSUG |
2017 |
Data Quality Control: Using High Performance Binning to Prevent Information Loss |
Lakshmi Nirmala Bavirisetty,
Kaushal Chaudhary |
source |
9 |
| PharmaSUG |
2017 |
Hashtag #Efficiency! An Exploration of Hash Tables and Other Techniques |
Lakshmi Nirmala Bavirisetty,
Kaushal Chaudhary |
source |
9 |
| SGF |
2017 |
Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? |
|
source |
12 |
| MWSUG |
2016 |
Hashtag #Efficiency! An Introduction to Hash Tables |
Lakshmi Nirmala Bavirisetty,
Kaushal Chaudhary |
|
10 |
| MWSUG |
2016 |
Is My Model the Best? Methods for Exploring Model Fit |
|
|
7 |
| MWSUG |
2016 |
Multicollinearity: What Is It and What Can We Do About It? |
|
|
2 |
| WUSS |
2016 |
Employing Latent Analyses in Longitudinal Studies: An Exploration of Independently Developed SAS Procedures |
|
source |
14 |
| WUSS |
2016 |
Selection Bias: How Can Propensity Score Utilization Help Control For It? |
|
source |
13 |
| PharmaSUG |
2016 |
Latent Structure Analysis Procedures in SAS |
|
source |
8 |
| SGF |
2016 |
Latent Structure Analysis Procedures in SAS |
|
source |
8 |
| SGF |
2016 |
Using Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
|
source |
7 |
| MWSUG |
2015 |
%SYSFUNC Is Your Friend |
Kaushal Chaudhary |
|
6 |
| MWSUG |
2015 |
A Simple Adjustment for Selection Bias Through Use of Propensity Scoring |
|
|
24 |
| MWSUG |
2015 |
Let SAS Cleanse Your Dirty Data |
Kaushal Chaudhary |
|
13 |
| MWSUG |
2015 |
Multiple Imputation for Arbitrary Missing Data: SAS and R |
Kaushal Chaudhary |
|
7 |
| MWSUG |
2015 |
Utilizing Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
|
|
7 |
| SESUG |
2015 |
How Latent Structure Analysis Can Improve the Fit of a Regression Model |
|
source |
11 |
| WUSS |
2015 |
Latent Analysis Applications for Regression Models |
|
source |
11 |
| PharmaSUG |
2015 |
How To Use Latent Analyses Within Survey Data Can Be Valuable Additions to Any Regression Model |
|
source |
9 |
| SGF |
2015 |
How Latent Analyses within Survey Data Can Be Valuable Additions to Any Regression Model |
|
source |
9 |
| MWSUG |
2014 |
How To Use Latent Analyses of Survey Data in a Logistic Regression Model |
|
|
9 |
| WUSS |
2014 |
Using PROC FACTOR for variable inclusion in PROC SURVEYLOGISTIC: A Case Study |
|
source |
35 |
| PharmaSUG |
2014 |
A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC |
|
source |
23 |
| SGF |
2014 |
A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC |
|
source |
23 |
| MWSUG |
2013 |
An Analysis of Risk Behavior Trends and Mental Health in American Youth Using PROC SURVEYLOGISTIC |
|
|
15 |
| NESUG |
2013 |
Exploring the Relationship Between Mental Health and Risky Behaviors in American Youth Using PROC SURVEYFREQ and SURVEYLOGISTIC |
|
|
9 |
| SGF |
2013 |
Exploring Health Trends and Risk Behavior Analysis in American Youth Using PROC SURVEYFREQ and PROC SURVEYLOGISTIC |
|
source |
11 |
| MWSUG |
2012 |
Current Health Trends and Risk Behavior Analysis in American Youth: Using a Large Sample |
|
|
4 |
| MWSUG |
2011 |
Comparing Over-the-Counter Drug Prices and Availability Using Nonparametric Tests |
|
|
3 |
| MWSUG |
2011 |
The Effects of Previous Trial Validity on the Gaze Cuing Effect: A Meta-Analysis |
|
|
6 |
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