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Top Star Repos
105Example code and materials that illustrate applications of SAS machine learning techniques.
100Teaching and lab materials for the "SAS Programming for R Users" course, including course notes, data, and code.
94SAS macros for statistics and graphics
49This repository provides example code for loading and analyzing data from AHRQ's Medical Expenditure Panel Survey (MEPS). More information about the survey and access to public use data files is available on our website
46All things SAS related (programs, macros, presentations, etc)
40Delivery standard industry analyses, built upon CDISC standards for analysis data
32An implementation of the HCC Risk Adjustment Algorithm in Python
29SAS programming including extensive data-set manipulations,multidimensional arrays, SAS functions.
26Production Ready Macros for SAS Application Developers
20Example code and materials that illustrate using neural networks with several hidden layers in SAS.
20Code and examples that accompany papers and presentations from SAS Global Forum 2019 (Apr 28-May 1, 2019 in Dallas, TX)
19Various macro utilities for SAS(r) www.sas.com. This site is not connected with www.sas.com
14SAS scripts for clinical trials applications including generating SDTM domains, ADaM datasets, and Define.xml files
13A SAS library for SAS University Edition and SAS Studio
12SAS programs created based on exercises in The Little SAS Book
11Contains all of my personal SAS macros that I use for running statistical analyses.
10Standardised tables for doing cross agency work in the IDI - NOTE: Currently being updated due to IDI SAS Grid and Windows 10 migration
10Study materials for the SAS Base Certification Exam.
9This is a collection of my SAS code for course and project work.
9A Sas Macro Utility Library
9Code examples and supporting materials for data mining and machine learning techniques on the SAS Viya environment.
9SAS code from my regression course at CSU East Bay
0Running a wep app on a local web server using python flask
0Time series models can be applied to a myriad of forecasting challenges. In this project, we explored the use of such models for forecasting stocks and using the forecasts to predict the performance of stock sectors. Specifically, we used the ARIMA(X), UCM and ESM models to predict the performance of fifteen stocks in the Oil and Gas, Public Utilities and Transportation sectors, and using the predicted stocks performance we predicted an overall forecast for the three sectors.
1184 Followers 100+
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