Processing Millions of Rows with SAS PROC ASSESS
This documentation explains how to use the ASSESS procedure to evaluate the performance of binary classification mode...
The Pro Way to Fix Missing Data Bias: Parameter Estimation via PROC MI EM Action
This SAS script illustrates the use of the PROC MI procedure to calculate EM (Expectation-Maximization) algorithm est...
The Ultimate Guide to Model Selection: How to Find the Perfect K-Components in SAS
This script uses the HPFMM procedure to analyze the distribution of galaxy velocities, by fitting normal mixture mode...
The Ultimate SAS Model Tuning Guide: How to Automate Regressor Selection with PROC GLMSELECT
Example of model selection with the GLMSELECT procedure, using LASSO and Group LASSO methods on simulated data.
Mastering Diallel Analysis in SAS: Using PROC GLIMMIX for Multi-Member Random Effects
This SAS script implements a mixed linear model analysis on data from a diallel cross experiment, using the GLIMMIX p...
SAS PROC GLM Guide: Mastering the Transition from ANOVA to ANCOVA
This SAS script performs several statistical analyses, mainly ANOVA and ANCOVA, on various datasets. Data are created...
Example of Confirmatory Factor Analysis with PROC CALIS
This script illustrates the use of the CALIS procedure to perform confirmatory factor analyses with different model s...
Example 5 for PROC CATMOD: Log-Linear Model
Analysis of squirrel monkeys' behavior using a log-linear model for an incomplete contingency table, employing the CA...
Survival Analysis with Curves and Risk Tables
This script performs a survival analysis on SASHELP.BMT data, generates survival curve data via PROC LIFETEST, then u...
Comparison of Group Means
This SAS script compares group means using the TTEST procedure, utilizing internal data defined by `datalines`.
Non-parametric Analysis with PROC NPAR1WAY
This SAS script uses PROC NPAR1WAY to perform non-parametric analyses on an internal dataset. It presents examples of...
Nonlinear Poisson Regression Random-Effects Model (MCMCEX8)
SAS Sample Library example (MCMCEX8) demonstrating fitting a nonlinear mixed-effects Poisson model.
Getting Started Example for PROC LIFETEST
Example script demonstrating basic survival analysis with the LIFETEST procedure, including data creation and graph g...
Predicting Choice Probabilities with PROC BCHOICE
Calculation of predicted choice probabilities for new scenarios using a Bayesian logit model.
Quantile Binning (BINNING Procedure)
This documentation describes and illustrates the use of the BINNING procedure to perform quantile binning in SAS Visu...
Statistical and Graphical Analysis of Biomedical and Epidemiological Data
This SAS script performs a statistical and graphical exploration of two internally created datasets: 'Athelate' (biom...
Elementary Statistical Calculations on Internal Data
Demonstration script manually creating data and performing simple statistical calculations.
Analysis of Overdispersion in Teratology
This SAS script analyzes teratology data to detect and model overdispersion. It uses a DATA step to create the datase...
Statistical Power Analysis (GLM and T-test)
Script performing power analyses and sample size calculations. It first prepares a dataset, then uses PROC GLMPOWER f...
CAEFFECT Procedure: Estimation by Regression Adjustment
Demonstrates the use of the CAEFFECT procedure for causal effect estimation by regression adjustment, using a pre-adj...
Causal Effect Estimation by Doubly Robust Methods with PROC CAEFFECT
The CAEFFECT procedure estimates causal treatment effects using doubly robust methods, such as Augmented Inverse Prob...
Student's t-test on simulated data
Generation of random data and execution of a Student's t-test to compare two groups.
Documentation Example 1 for PROC MIXED - Split-Plot Design
Example of analyzing a split-plot design with PROC MIXED.
Documentation Example 19 for PROC MI
Documentation example for PROC MI, illustrating the analysis of missing data patterns and the configuration of multip...
Documentation Example 16 for PROC MI
Example of using PROC MI with the FCS method and adjustments for Missing Not At Random (MNAR) data.
Simulation of Gamma and Inverse-Gamma Priors
Simulates Gamma and Inverse-Gamma prior distributions using the SAS MCMC procedure.
Random Effects Model with PROC MCMC
Getting Started Example 3 for PROC MCMC, implementing a random effects model for height data analysis.
Poisson Regression with PROC MCMC
Example of Poisson regression using PROC MCMC and comparison with PROC GENMOD.
PROC KDE Examples: Kernel Density Estimation
Demonstration of PROC KDE's capabilities for density estimation, including bandwidth modification and generation of s...
Introduction Example for PROC HPMIXED
Data simulation and analysis via linear mixed model with significant fixed and random effects.
Introduction to PROC GLIMMIX Example: Logistic Regression
Example of logistic regression with random intercepts using the GLIMMIX procedure on multicenter data.
Introduction Example 3 for PROC GENMOD (GEE)
SAS sample library example illustrating the use of PROC GENMOD to analyze longitudinal data with GEE (Generalized Est...
Exact Poisson Regression with PROC GENMOD
This SAS script performs an exact Poisson regression using PROC GENMOD to analyze the number of ingots not ready for ...
Modeling diabetes patterns with PROC GAM
This SAS script illustrates the use of the GAM procedure to model the relationship between the logarithm of C-peptide...
Documentation Example 3 for PROC FACTOR
This SAS script demonstrates the use of the FACTOR procedure for factor analysis, focusing on methods for determining...
Multiple-Population Repeated Measures with PROC CATMOD
Analysis of categorical data with repeated measures across three distinct populations.
Categorical Data Analysis with PROC CATMOD - Example 11
Example illustrating model fitting and obtaining predicted probabilities for subpopulations.
Multinomial Generalized Logit Modeling with PROC BGLIMM
Example of using the BGLIMM procedure to fit a multinomial generalized logit model on nominal response data.
Advanced Statistical Analysis: GLIMMIX and NLMIXED
Data simulation script followed by comparisons of mixed models (linear and logistic) and non-linear modeling.
Negative-Binomial Data Generation and Estimation
This SAS script generates data following a negative-binomial distribution, then estimates its parameters (Mu, Kappa) ...
Simulation of Hurdle Poisson and Negative-Binomial Models
Simulation script generating data for count models with excess zeros (Hurdle Models) based on Poisson and Negative-Bi...
Score Test Statistic, Dean (1992)
This SAS script calculates Dean's (1992) score test statistic to assess the adequacy of a binomial distribution again...
Descriptive Analysis I - Measures of Central Tendency
This SAS script performs a descriptive analysis of central tendency measures (mean, median, mode) for participants' h...
Numerical Descriptive Analysis of Variances
This SAS script performs a numerical descriptive analysis on an internally created dataset to demonstrate the variabi...
Simulation of Correlated Bernoulli Variables and Monte Carlo Analysis
Simulation script generating correlated Bernoulli variables within clusters to analyze the impact of intra-class corr...
Descriptive Analysis and Frequencies
This SAS script performs a simple descriptive analysis, creating a dataset from embedded data lines, then generates p...