SAS SAS Categorical Data Analysis

SAS Categorical Data Analysis

Catalog: SAS
Short name: Categorical Data Analysis
Course start date: 2024-07-02
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Description

SAS which stands for Statistical Analysis System is a software developed by the SAS Institute a private company based out of Cary, North Carolina, USA. Its primary objective is to be able to process large chunks of data and analyse it aid in the process of intelligent decision making. SAS has has been widely accepted in the world and it accounts for almost 70% of the data processing market place.Through this advanced training you shall be able to perform categorical data analysis effectively explained through practical business case study.


The training will include the following;


Examining Distributions

Test of Associations by using chi-square test

Fisher’s Exact p-values for Pearson Chi-square test

Course Duration:-7h 26m

Sections

General
0 activities

Introduction to Categorical Data Analysis Using SAS
Examining Distribution Categorical Data Analysis Using SAS
Frequency Tables in Categorical Data Analysis Using SAS
Crosstabulation in Categorical Data Analysis
Example of Categorical Data Analysis
Example of Frequency Tables in Categorical Data Analysis
Example of Frequency Tables in Categorical Data Analysis Continues
More on Categorical Data Analysis Examples
Test of Associations SAS
Output of Test of Associations SAS
Fisher’s Exact p-Values
Calculating Fisher’s Exact p-Values
Exact P Values
Freq Procedure
Test of Ordinal Association
Test of Ordinal Association Continues
Custom Format for Survive Variable
Produces the Spearman Correction
Events in Odds Ratio
Probability and Outcome
Index in Odds Ratio
Calculating Using Probability
Implementing Non Linear Function
Assumption in Logistics Regression
Method of Maximum Likelihood
Demonstration on Logistics Regression
Specifying The Value
Fit Statistics Model
Odds Ratio Estimates
Model Assessment Comparing Pairs
Concordant Pair
Categorical Predictors Variables
Paramitisation Technique
Reference Cell Coding
Ratio For Categorical Predictor
Multiple Logistic Regression
Executing Logistic Regression
Analysis of Effect
ODS Graphics
Backward Elimination Method
Model Fit Statistics
Principles of Honest Assessment
Summary of Data Splitting
Purpose of Honest Assessment
Create Missing Indicator
Course Certificate
Secure Video
45
Certificate
1
Cost: 5000
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Course Duration:-7h 26m