Welcome to our dedicated repository for Advanced Statistical Modeling using SAS
©. This category is designed for data scientists, biostatisticians, and researchers seeking robust code templates for complex analytical challenges.
This collection covers the full spectrum of statistical methodology, providing you with ready-to-use scripts for:
Handling Missing Data: Robust strategies for multiple imputation using
PROC MI and PROC MIANALYZE to ensure data integrity.
Complex Modeling: A wide range of templates for Linear, Non-Linear, and Mixed Models (PROC MIXED,
GLIMMIX, NLMIXED).
Survival Analysis: Essential tools for analyzing time-to-event data, including
Kaplan-Meier estimates and censored data modeling (
PROC LIFETEST, PHREG).
Bayesian Statistics: Implementation of MCMC simulations, prior modeling, and posterior analysis (
PROC MCMC,
BCHOICE).
Multivariate & Structural Analysis: Scripts for Factor Analysis (PROC FACTOR), Clustering, and Structural Equation Modeling.
Hypothesis Testing: Standard and advanced methods for
ANOVA, T-tests, and Power Analysis (
PROC POWER,
PROC GLM).
Explore these resources to streamline your analytical workflow, validate your hypotheses, and perform rigorous statistical reporting.