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2019: Stat R

web pagebanner-statR
    
FINALV1-statR 2019 copy   
Date:  21-23 April 2019
Venue: College of Public Health & Health Informatics , King Saud bin Abdulaziz Univ.for Health Sciences, King Saud bin Abdulaziz Univ.for Health Sciences, Riyadh KSA   
Registration: SR 1200

 

WORKSHOP DESCRIPTION
 

This course is designed to introduce the basics of R to the R beginners who are not familiar with R yet and want to start learning R to manipulate and analyze their own data. The course discusses data management, descriptive statistics, Chi-Square test, t-tests, ANOVA, linear regression, logistic regression, and survival analysis concepts with an emphasis on top public health problems in Saudi Arabia. We will provide R analysis examples to help connect the statistical concepts and their implementation in R.

 LEARNING OBJECTIVE
 

Introduction to R basics and R environment
Reading Excel/SPSS file into R
Examine data distributions and quality
Assess the reliability (internal consistency) of a questionnaire
Generate descriptive statistics and explore data with graphs
Create plots using R
Use chi-square statistics to detect associations between categorical variables
Perform tests of differences between two group means
Perform analysis of variance and post-hoc multiple comparison techniques
Fit and interpret multiple linear regression model
Fit and interpret multiple logistic regression model
Test whether survival curves across groups are different
Test whether factor(s) associated with a higher hazard of event
Learn how to design well-formed tables for publication

 
INQUIRIES & CONTACT INFO 
 

Telephone Number : 11-4295495
E-mail : ngcebhp@ksau-hs.edu.sa

REGISTRATION PROCEDURE:
1. Call the numbers stated in the course/workshop information to inquire availability of seats. 
2. Fill up the Registration form and fax to 11-4295480
3.Confirm if the fax was received to the numbers stated in the course/workshop information
4.
Once confirmation is made, kindly pay the fees and fax a copy of receipt again to 11-4295480
     

2020: Stat R

web pagebanner-statR
    
FINALV1-statR 2019 copy   
Date:  23-25 February 2020
Venue: College of Public Health & Health Informatics , King Saud bin Abdulaziz Univ.for Health Sciences, King Saud bin Abdulaziz Univ.for Health Sciences, Riyadh KSA   
Registration: SR 1000

 

WORKSHOP DESCRIPTION
 

This course is designed to introduce the basics of R to the R beginners who are not familiar with R yet and want to start learning R to manipulate and analyze their own data. The course discusses data management, descriptive statistics, Chi-Square test, t-tests, ANOVA, linear regression, logistic regression, and survival analysis concepts with an emphasis on top public health problems in Saudi Arabia. We will provide R analysis examples to help connect the statistical concepts and their implementation in R.

 LEARNING OBJECTIVE
 

Introduction to R basics and R environment
Reading Excel/SPSS file into R
Examine data distributions and quality
Assess the reliability (internal consistency) of a questionnaire
Generate descriptive statistics and explore data with graphs
Create plots using R
Use chi-square statistics to detect associations between categorical variables
Perform tests of differences between two group means
Perform analysis of variance and post-hoc multiple comparison techniques
Fit and interpret multiple linear regression model
Fit and interpret multiple logistic regression model
Test whether survival curves across groups are different
Test whether factor(s) associated with a higher hazard of event
Learn how to design well-formed tables for publication

 
INQUIRIES & CONTACT INFO 
 

Telephone Number : 11-4295495
E-mail : ngcebhp@ksau-hs.edu.sa

REGISTRATION PROCEDURE:
1. Call the numbers stated in the course/workshop information to inquire availability of seats. 
2. Fill up the Registration form and fax to 11-4295480
3.Confirm if the fax was received to the numbers stated in the course/workshop information
4.
Once confirmation is made, kindly pay the fees and fax a copy of receipt again to 11-4295480
     

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