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Deanna Schreiber-Gregory — Indexed Papers

Publications credited to Deanna Schreiber-Gregory in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.

28 papers · Showing 1–28

PharmaSUG · 2021Paper SA-032PharmaSUG 2021

Back to Basics: Running an Analysis from Data to Refinement in SAS

Deanna Schreiber-Gregory

Source category: Statistics and Analytics

Author collections: Deanna Schreiber-Gregory

SESUG · 2021Paper 28SESUG 2021

Back to Basics: Running an Analysis from Data to Refinement in SAS

Deanna Schreiber-Gregory

Source category: Statistics and Data Analysis

File inside source ZIP: Statistics_and_Data_Analysis/SESUG2021_Paper_28_Final_PDF.pdf

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2021Paper HT-127PharmaSUG 2021

Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity

Deanna Schreiber-Gregory

Source category: Hands-On Training

Author collections: Deanna Schreiber-Gregory

SESUG · 2020Paper 105SESUG 2020

A Doctor's Dilemma: How Propensity Scores Can Help Control For Selection Bias in Medical Education

Deanna Schreiber-Gregory

Source category: Statistics and Data Analysis

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2020Paper SA-034PharmaSUG 2020

A Doctor’s Dilemma: How Propensity Scores Can Help Control For Selection Bias in Medical Education

Deanna Schreiber-Gregory

Source category: Statistics and Analytics

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2020Paper HT-139PharmaSUG 2020

You Are Using PROC GLM Too Much (and What You Should Be Using Instead)

Peter Flom; Deanna Schreiber-Gregory

Source category: Hands-On Training

Author collections: Peter Flom · Deanna Schreiber-Gregory

WUSS · 2019Paper 202WUSS 2019

Exploring the Difference in Multicollinearty Adjustments Between Logistic and Linear Regression

Deanna Schreiber-Gregory

Source category: Analytics and Statistics

The publisher's PDF link currently returns 404; the conference abstract remains available.

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2019Paper ST-058PharmaSUG 2019

Logistic and Linear Regression Assumptions: Violation Recognition and Control

Deanna Schreiber-Gregory; Karlen Bader

Source category: Statistics and Analytics

Author collections: Deanna Schreiber-Gregory · Karlen Bader

PharmaSUG · 2019Paper ST-059PharmaSUG 2019

Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets

Deanna Schreiber-Gregory; Karlen Bader

Source category: Statistics and Analytics

Author collections: Deanna Schreiber-Gregory · Karlen Bader

WUSS · 2019WUSS 2019

Treating the Data Overdose: Navigating Big Data to Find Answers to Our Growing Opioid Problem

Deanna Schreiber-Gregory

Source category: Big Data and Data Science

The conference page gives an abstract but no downloadable paper link.

Author collections: Deanna Schreiber-Gregory

WUSS · 2018Paper 132WUSS 2018

From Student to Expert: Leveraging SAS Conferences as Professional Development Opportunities

Deanna Schreiber-Gregory

Source category: Career Development & Leadership

Author collections: Deanna Schreiber-Gregory

MWSUG · 2018Paper AA-91MWSUG 2018

Logistic and Linear Regression Assumptions: Violation Recognition and Control

Deanna Schreiber-Gregory; Karlen Bader

Source category: Advanced Analytics

Author collections: Deanna Schreiber-Gregory · Karlen Bader

SESUG · 2018Paper 247SESUG 2018

Logistic and Linear Regression Assumptions: Violation Recognition and Control

Deanna Schreiber-Gregory

Source category: Statistics Data Analysis

File inside source ZIP: Statistics_Data_Analysis/SESUG2018_Paper-247_Final_PDF.pdf

Author collections: Deanna Schreiber-Gregory

WUSS · 2018Paper 130WUSS 2018

Logistic and Linear Regression Assumptions: Violation Recognition and Control

Deanna Schreiber-Gregory

Source category: Data Analytics and Statistics

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2018Paper AA01PharmaSUG 2018

Multicollinearity: What Is It and What Can We Do About It?

Deanna Schreiber-Gregory

Source category: Advanced Analytics

Author collections: Deanna Schreiber-Gregory

MWSUG · 2018Paper SB-93MWSUG 2018

Quality Control for Big Data: How to Utilize High Performance Binning Techniques

Deanna Schreiber-Gregory; Karlen Bader

Source category: SAS 301 Beyond the Basics

Author collections: Deanna Schreiber-Gregory · Karlen Bader

SESUG · 2018Paper 248SESUG 2018

Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets

Deanna Schreiber-Gregory

Source category: Statistics Data Analysis

File inside source ZIP: Statistics_Data_Analysis/SESUG2018_Paper-248_Final_PDF.pdf

Author collections: Deanna Schreiber-Gregory

WUSS · 2018Paper 131WUSS 2018

Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets

Deanna Schreiber-Gregory

Source category: Data Analytics and Statistics

Author collections: Deanna Schreiber-Gregory

MWSUG · 2018Paper AA-92MWSUG 2018

Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets

Deanna Schreiber-Gregory; Karlen Bader

Source category: Advanced Analytics

Author collections: Deanna Schreiber-Gregory · Karlen Bader

SESUG · 2017Paper DM-173SESUG 2017

Data Quality Control: Preventing Information Loss Through High Performance Binning Procedures

Deanna Schreiber-Gregory

Source category: Data Management Big Data

File inside source ZIP: Data_Management_Big_Data/SESUG2017_Paper-173_Final_PDF.docx

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2017Paper TT10PharmaSUG 2017

Data Quality Control: Using High Performance Binning to Prevent Information Loss

Deanna Schreiber-Gregory; Lakshmi Nirmala Bavirisetty; Kaushal Chaudhary

Source category: Techniques & Tutorials

Author collections: Deanna Schreiber-Gregory · Lakshmi Nirmala Bavirisetty · Kaushal Chaudhary

PharmaSUG · 2017Paper TT09PharmaSUG 2017

Hashtag #Efficiency! An Exploration of Hash Tables and Other Techniques

Lakshmi Nirmala Bavirisetty; Kaushal Chaudhary; Deanna Schreiber-Gregory

Source category: Techniques & Tutorials

Author collections: Lakshmi Nirmala Bavirisetty · Kaushal Chaudhary · Deanna Schreiber-Gregory

SESUG · 2017Paper SD-160SESUG 2017

Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled?

Deanna Schreiber-Gregory

Source category: Statistics Data Analysis

File inside source ZIP: Statistics_Data_Analysis/SESUG2017_Paper-160_Final_PDF.pdf

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2016Paper SP07PharmaSUG 2016

Latent Structure Analysis Procedures in SAS®

Deanna Schreiber-Gregory

Source category: Statistics and Pharmacokinetics

Author collections: Deanna Schreiber-Gregory

SESUG · 2015Paper SD-191SESUG 2015

How Latent Structure Analyses Can Improve the Fit of a Regression Model

Deanna Schreiber-Gregory

Source category: Statistics and Data Analysis

File inside source ZIP: SESUG 2015 Final paper PDF Files 11_2_2015/Statistics_Data_Analysis/191_Final_PDF.pdf

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2015Paper SP08PharmaSUG 2015

How To Use Latent Analyses Within Survey Data Can Be Valuable Additions to Any Regression Model

Deanna Schreiber-Gregory

Source category: Statistics and Pharmacokinetics

Author collections: Deanna Schreiber-Gregory

SCSUG · 2015SCSUG 2015

Latent Analysis Applications for Data Exploration and Regression Model Improvement

Deanna Schreiber-Gregory

Source category: Reporting, JMP, Data Vis, Stat Apps

The publisher lists this presentation without a downloadable file.

Author collections: Deanna Schreiber-Gregory

PharmaSUG · 2014Paper SP06PharmaSUG 2014

A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC

Deanna Schreiber-Gregory

Source category: Statistics & Pharmacokinetics

Author collections: Deanna Schreiber-Gregory