Size Matters - Sample Size Calculation With SAS and R
Source category: Analytics & Statistics
THE COMMUNITY ARCHIVE
Statistical Methodology Papers and PresentationsPage 4
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 61–80
SPECification DOCument (SPECDOC): Automating Text for Data Description, Statistical Methods, and Analysis Results for Medical Communications
Source category: Software Demonstrations
Author collections: Michael Pannucci
Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Tasks using TensorFlow in Python
Source category: Analytics & Statistics
Author collections: Ryan Lafler · Anna Wade
Wald Tests in Mixed Models - a Warning
Source category: Statistics, Analytics and Reporting
Author collections: David Dickey
A SAS macro wrapper for an efficient Deming regression algorithm via PROC IML: The Wicklin method
Source category: Statistics and Analytics
Author collections: Natasha Oza · Jesse Canchola
A two-staged local regression based binning method for weight of evidence transformation in credit scoring models
Source category: Industry Applications
An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon’s Two-Stage Design Accounting for Actual and Planned Sample Sizes
Source category: Statistics and Analytics
Author collections: Mikhail Melikov · Alex Karanevich
Analysis of sample size calculations in clinical trial – errors, pitfalls and conclusions
Source category: Statistics and Analytics
Author collections: Igor Goldfarb
Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM
Source category: Statistics, Analytics and Reporting
Author collections: David Corliss
Performance Traps in Multiple Imputation Analysis Using Mixed Model Repeated Measures
Source category: Analytics & Statistics
Author collections: Piotr Karasiewicz
Statistical Methods for Finding Human Bias in Machine Learning Models
Source category: Analytics & Statistics
Author collections: Jim Box
A Bayesian Approach to Detection of Treatment-related Effects in Toxicology Studies by Borrowing Information from Historical Control Animals
Source category: Analytics and Statistics
Author collections: Kevin Snyder · Md Yousuf Ali
An Overview of Regression Approaches for the Competing Risks Data
Source category: Analytics & Statistics
Author collections: Oksana Mykhailova
Bayesian Analysis of GLMMs Using PROC BGLIMM
Source category: Statistics and Analytics
BAYESIAN Approach on COVID-19 test results
Source category: Statistics and Analytics
Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses
Source category: Statistics and Analytics
Author collections: Girish Kankipati · Jai Deep Mittapalli
Comparative Characteristics of Logistic Regression Implementation in SAS and R in the Example of Cardiovascular Diseases
Source category: Analytics and Statistics
Do I Have Enough? - A Macro for Sample Size Determination in Simple and Multiple Logistic Regression
Source category: SAS Global Forum proceedings
Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression
Source category: SAS Global Forum proceedings
Overview of Bayesian Approaches in Survival Analysis Using SAS
Source category: Analytics & Statistics