Overview
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression. This course (or equivalent knowledge) is a prerequisite to many of the courses in the statistical analysis curriculum.
A more advanced treatment of ANOVA and regression occurs in the Statistics 2: ANOVA and Regression course. A more advanced treatment of logistic regression occurs in the Categorical Data Analysis Using Logistic Regression course and the Predictive Modeling Using Logistic Regression course.
Prerequisites
Before attending this course, you should
- have completed the equivalent of an undergraduate course in statistics covering p-values, hypothesis testing, analysis of variance, and regression
- be able to execute SAS programs and create SAS data sets. You can gain this experience by completing the SAS Programming 1: Essentials course.
This course addresses SAS/STAT software.
This course also addresses Base SAS software and touches on SAS/GRAPH software. You can benefit from this course even if SAS/GRAPH software is not installed at your location
Delegates will learn how to
- generate descriptive statistics and explore data with graphs
- perform analysis of variance and apply multiple comparison techniques
- perform linear regression and assess the assumptions
- use regression model selection techniques to aid in the choice of predictor variables in multiple regression
- use diagnostic statistics to assess statistical assumptions and identify potential outliers in multiple regression
- use chi-square statistics to detect associations among categorical variables
- fit a multiple logistic regression model
- score new data using developed models.
Who should attend
Statisticians, researchers, and business analysts who use SAS programming to generate analyses using either continuous or categorical response (dependent) variables
Outline
Course Overview and Review of Concepts
- descriptive statistics
- inferential statistics
- examining data distributions
- obtaining and interpreting sample statistics using the UNIVARIATE procedure
- examining data distributions graphically in the UNIVARIATE and FREQ procedures
- constructing confidence intervals
- performing simple tests of hypothesis
- performing tests of differences between two group means using PROC TTEST
ANOVA and Regression
- performing one-way ANOVA with the GLM procedure
- performing post-hoc multiple comparisons tests in PROC GLM
- producing correlations with the CORR procedure
- fitting a simple linear regression model with the REG procedure
More Complex Linear Models
- performing two-way ANOVA with and without interactions
- understanding the concepts of multiple regression
Model Building and Effect Selection
- automated model selection techniques in PROC GLMSELECT to choose from among several candidate models
- interpreting and comparison of selected models
Model Post-Fitting for Inference
- examining residuals
- investigating influential observations
- assessing collinearity
Model Building and Scoring for Prediction
- understanding the concepts of predictive modeling
- understanding the importance of data partitioning
- understanding the concepts of scoring
- obtaining predictions (scoring) for new data using PROC GLMSELECT and PROC PLM
Categorical Data Analysis
- producing frequency tables with the FREQ procedure
- examining tests for general and linear association using the FREQ procedure
- understanding exact tests
- understanding the concepts of logistic regression
- fitting univariate and multivariate logistic regression models using the LOGISTIC procedure
- using automated model selection techniques in PROC LOGISTIC including interaction terms
- obtaining predictions (scoring) for new data using PROC PLM
Frequently asked questions
See all of our FAQsHow can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting (more details in the link below) to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
Learn more about our Virtual Classrooms.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course. When you book a QA online learning course you will receive immediate access to it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
Learn more about QA’s online courses.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.