Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression
Course Code: |
Duration: 3 days 9:00am to 5.00pm |
Course Fees: S$2,800 (excl of G.S.T) |
2021 Course Dates 25 – 27 Jan 2021 14 – 16 Apr 2021 |
None of the published dates will work for you? Speak to our training consultants for a private tuition arrangement or a closed door training. |
Course 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.
Program Objectives
• 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.
Course Outline
Module 1: Course Overview and Review of Concepts
Module 2: ANOVA and Regression
Module 3: More Complex Linear Models
Module 4: Model Building and Effect Selection
Module 5: Model Post-Fitting for Inference
Module 6: Model Building and Scoring for Prediction
Module 7: Categorical Data Analysis
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