'Training Wheels' for learning mixed models
Source category: Data Analytics and Statistics
Author collections: YuTing Tian · Russ Lavery
THE COMMUNITY ARCHIVE
Statistical Methodology Papers and PresentationsPage 7
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 121–140
A Macro to Calculate Sample Size for Studies Using the Proportional Time Assumption
Source category: Health Sciences
Author collections: Brian Mosier · John Keighley
Alternative methods of regression when OLS is not right
Source category: Advanced Analytics
Author collections: Peter L. Flom
An introduction to classification and regression trees with PROC HPSPLIT
Source category: Advanced Analytics
Author collections: Peter L. Flom
Assessing Model Adequacy in Proportional Hazards Regression
Source category: Health Sciences
Author collections: Michael G. Wilson
Bayesian Concepts: An Introduction
Source category: Conference presentation
Bayesian Networks for Causal Analysis
Source category: Conference presentation
Collinearity in Mixed Models
Source category: Analytics & Statistics
Author collections: John Hendrickx
Confounded? This example shows how to use SAS® chi-square tests, correlations and logistic regression to unconfound a result
Source category: Advanced Analytics
Credit Score: A Comparison of Gradient Boosting with Logistic Regression in Practical Cases
Source category: Conference presentation
Getting Started with Bayesian Analysis
Source category: Conference presentation
Logistic and Linear Regression Assumptions: Violation Recognition and Control
Source category: Advanced Analytics
Author collections: Deanna Schreiber-Gregory · Karlen Bader
Logistic and Linear Regression Assumptions: Violation Recognition and Control
Source category: Statistics Data Analysis
File inside source ZIP: Statistics_Data_Analysis/SESUG2018_Paper-247_Final_PDF.pdf
Author collections: Deanna Schreiber-Gregory
Logistic and Linear Regression Assumptions: Violation Recognition and Control
Source category: Data Analytics and Statistics
Author collections: Deanna Schreiber-Gregory
Multiple Regression Diagnostics in SAS®: Predicting House Sale Prices
Source category: Conference presentation
Penalized Variable Selection and Quantile Regression in SAS® : An Overview
Source category: Conference presentation
Prediction and Interpretation for Machine Learning Regression Methods
Source category: Conference presentation
Regression Model Building for Large, Complex Data with SAS® ViyaÔøΩ Procedures
Source category: Conference presentation
Regression Models for Count Data
Source category: Statistics Data Analysis
File inside source ZIP: Statistics_Data_Analysis/SESUG2018_Paper-136_Final_PDF.pdf
Author collections: Jason Brinkley
Ridge Regression and Multicollinearity: An In-Depth Review
Source category: Conference presentation