A Supplement to the SAS Survival Guide- Nonparametric Regression
Source category: Statistics and Pharmacokinetics
Author collections: Karl-Ernst Siegler
THE COMMUNITY ARCHIVE
Statistical Methodology Papers and PresentationsPage 13
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.
568 papers · Showing 241–260
Algorithm to Compare the Slopes (Regression Coefficients) between the subgroups in Simple/Multiple Regression using PROC REG
Source category: Posters
Author collections: Sandeep Sawant
Comparison of Implementation of A Bayesian Approach to Nonlinear Mixed Effects Modelin SAS and WinBUGS
Source category: Analytics & Statistics
Computing Initial Values for Pharmacokinetic ML Nonlinear Regression via genetic algorithms and parallel genetic algorithms
Source category: Statistics & Pharmacokinetics
Fitting Bayesian hierarchical multinomial logit models in PROC MCMC
Source category: Coder’s Tips and Tricks
File inside source ZIP: CT-09.pdf
How Test Length and Sample Size Have an Impact on the Standard Errors for IRT True Score Equating: Integrating SAS® and Other Software
Source category: Posters
Inflated Beta Regression: Zero, One, and Everything in Between
Source category: Statistics and Data Analysis
K-Nearest Neighbor Classification and Regression using SAS
Source category: Statistics and Data Analysis
File inside source ZIP: SD-09.pdf
Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods
Source category: Statistics and Data Analysis
Random Effects Simulation for Sample Size Calculations Using SAS
Source category: Statistics and Data Analysis
File inside source ZIP: SD-02.pdf
Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower
Source category: Analytics & Statistics
Sample Size Determination for a Nonparametric Upper Tolerance Limit for any Order Statistic
Source category: Statistics and Data Analysis
File inside source ZIP: SD-07.pdf
SAS macro to obtain reference values based on estimation of the lower and upper percentiles via quantile regression.
Source category: Posters
File inside source ZIP: PO-12.pdf
The influence of small sample sizes on empirical Bayes predictors inlongitudinal data sets
Source category: Analytics & Statistics
The Logic and Logistics of Logistic Regression, Including New Features in SAS® 9.2
Source category: Health Outcomes Research and Epidemiology
Author collections: Lawrence Rasouliyan
The Steps to Follow in a Multiple Regression Analysis
Source category: Statistics and Data Analysis
The Steps to Follow in a Multiple Regression Analysis
Source category: Analytics & Statistics
Tips and Strategies for Mixed Modeling with SAS/STAT® Procedures
Source category: Statistics and Data Analysis
Tips, Tricks, and Strategies for Mixed Modeling with SAS/STAT® Procedures
Source category: Statistics and Data Analysis
File inside source ZIP: SD-13.pdf
Using SAS® to Extend Logistic Regression
Source category: Statistics and Data Analysis