THE COMMUNITY ARCHIVE

Statistical Methodology Papers and PresentationsPage 6

Explore conference discussions of model fitting, study design and statistical inference. Compare the assumptions and target quantities behind methods before adopting implementation examples in a new analysis.

216 papers · Showing 101–120

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

SESUG · 2019Paper 160SESUG 2019

Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations

Kathleen Yeater

Source category: Statistics and Data Analysis

File inside source ZIP: Statistics_and_Data_Analysis/SESUG2019_Paper-160_Final_PDF.pdf

SAS Global Forum · 2019Paper 3042-2019SAS Global Forum 2019

Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models

Amy Shi and Fang Chen, SAS

Source category: Conference presentation

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

MWSUG · 2019Paper SP-026MWSUG 2019

Logistic Regression, Basics and Beyond

Bruce Lund

Source category: SAS 101 Plus

Author collections: Bruce Lund

PHUSE · 2019Paper AS06PHUSE EU Connect 2019

Mixed Model Repeated Measures (MMRMs)

Mrudula Suryawanshi

Source category: Analytics and Statistics

PHUSE · 2019Paper ML03PHUSE EU Connect 2019

ML03 Symbolic Regression: Survival of the Best Fit

Hector Leitch

Source category: Machine Learning

Author collections: Hector Leitch

WUSS · 2019Paper 207WUSS 2019

Polynomial Regression for Modeling Curvilinear Data: A Biological Example

Elisha Johnston

Source category: Analytics and Statistics

SESUG · 2019Paper 264SESUG 2019

Polytomous (Multinomial) Regression: What to Do When You Have More Than Two Categories

Charlotte Baker

Source category: Hands on Workshops (1.5-2 hour presentation)

Listed in the conference abstract booklet; no matching paper appears in the publisher ZIP.

Author collections: Charlotte Baker

PharmaSUG · 2019Paper ST-176PharmaSUG 2019

Practical Perspective in Sample Size Determination

Bill Coar

Source category: Statistics and Analytics

Author collections: Bill Coar

SAS Global Forum · 2019Paper 3018-2019SAS Global Forum 2019

Predicting Inside the Dead Zone of Complete Separation in Logistic Regression

Robert Derr, SAS

Source category: Conference presentation

SESUG · 2019Paper 296SESUG 2019

Regression Models for Count Data

Jason Brinkley

Source category: Statistics and Data Analysis

File inside source ZIP: Statistics_and_Data_Analysis/SESUG2019_Paper-296_Final_PDF.pdf

Author collections: Jason Brinkley

MWSUG · 2019Paper IN-113MWSUG 2019

Sample Size and Design Considerations in Studies Assessing Non-Inferiority Using Continuous Outcomes

Michael G. Wilson

Source category: Industry

Author collections: Michael G. Wilson

SESUG · 2019Paper 266SESUG 2019

Sample size calculation using the win ratio approach for hierarchical composite of three outcomes

Matheos Yosef

Source category: E-Posters

File inside source ZIP: E-Posters/SESUG2019_Paper-266_Final_PDF.pdf

SAS Global Forum · 2019Paper 3264-2019SAS Global Forum 2019

Sample Size Determination with SAS ® Studio

William Coar, Axio Research

Source category: Conference presentation

PharmaSUG · 2019Paper HT-177PharmaSUG 2019

Sample Size Determination with SAS® Studio

Bill Coar

Source category: Hands-on Training

Author collections: Bill Coar

SAS Global Forum · 2019Paper 3337-2019SAS Global Forum 2019

SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT ® Software

Phil Gibbs and Randy Tobias, SAS

Source category: Conference presentation

PharmaSUG · 2019Paper RW-192PharmaSUG 2019

Stratified COX Regression: Five-year follow-up of attrition risk among HIV positive adults, Bamako

Mamadou Dakouo; Kriss Harris; Seydou Moussa Coulibaly Coulibaly

Source category: Real World Evidence

Author collections: Kriss Harris

SAS Global Forum · 2019Paper 3188-2019SAS Global Forum 2019

The Bayesians are Coming! The Bayesians are Coming! The Bayesians Are Coming to Time Series!

Aric Labarr, Institute for Advanced Analytics at NC State

Source category: Conference presentation

SESUG · 2019Paper 233SESUG 2019

The Thorn in My Side!! Logistic Regression Continuous Variables that Violate the Assumption of Linearity on the Log-odds (Logit) scale: How to Identify and What to Do?

Janet Grubber

Source category: Statistics and Data Analysis

File inside source ZIP: Statistics_and_Data_Analysis/SESUG2019_Paper-233_Final_PDF.pdf

Author collections: Janet Grubber