Course Description:

The course introduces the basic principles and applications of statistics, as they are applied to problems in health research.The emphasis is on developing an understanding of the assumptions, limitations, practical considerations and critical thinking in the use of statistical methods in health research.

Course Details

• Course Schedule: Every Thursday, starting from September 14
• Time: 10:30 am - 12:00 pm EST

Course Instructor

• Instructor: Musie Ghebremichael, PhD
• Title: Associate Professor of Biostatistics, Harvard University &Ragon Institute

Course TAs

• 1. Raja Nakka, Senior Data Analyst
  • E-mail: rnakka@mgh.harvard.edu
• 2. Sindhuri Gandla
  • E-mail: sgandla@mgh.harvard.edu

Lab session for doubts

• Every Friday, 9am -10am EST
• Meeting Link

We look forward to your participation in this exciting biostatistics course.Please check your email for future communications.

Slides		Lectures
1		Lecture 1-4
2		Lecture 5-7
3		Lecture 8
4		Lecture 9
5		Lecture 10
6		Lecture 11
7		Lecture 12-13
8		Lecture 14

Name		Slides
R and RStudio		R and RStudio
Ggplot2		Ggplot2
RCodes4TestsANOVA		RCodes4TestsANOVA

Exercises
Exercise 1
Exercise 2
Exercise 3
Exercise 4
Exercise 5
Exercise 6

Name		Download
Faithful Dataset
MPG Dataset
examDAT
exercise
exposure
fev
MortalityData

Recommended Texts and Resources

• Principles of Biostatistics by Marcello Pagano and Kimberlee Gauvreau
• Introductory Statistics with R by Peter Dalgaard
• SAS and R: Data Management, Statistical Analysis, and Graphics by Ken Kleinman and Nicholas J.
• R Graphics Cookbook: Practical Recipes for Visualizing Data by Winston Chang
• ggplot2: Elegant Graphics for Data Analysis (Use R) 2nd ed. 2016 Edition by Hadley Wickham

Course Description:

This course introduces the basic principles and applications of machine learning algorithms, as they are applied to problems in health research. The emphasis is on developing an understanding of the assumptions, limitations, practical considerations and critical thinking in the use of ML methods in health research.

Course Details

• Course Schedule: Every Tuesday, starting from September 15
• Time: 10:00 am - 11:30 am EST

Course Instructor

• Instructor: Musie Ghebremichael, PhD
• Title: Associate Professor of Biostatistics, Harvard University & Ragon Institute

Course TAs

• 1. Raja Nakka, Senior Data Analyst
  • E-mail: rnakka@mgh.harvard.edu
• 2. Sindhuri Gandla
  • E-mail: sgandla@mgh.harvard.edu

We look forward to your participation in this exciting biostatistics course.Please check your email for future communications.

Slides		Lectures
1		Lecture 1-3

Name		Slides
R and RStudio		R and RStudio
Ggplot2		Ggplot2

Recommended Texts and Resources

• An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
• Introductory Statistics with R by Peter Dalgaard
• R Graphics Cookbook: Practical Recipes for Visualizing Data by Winston Chang
• ggplot2: Elegant Graphics for Data Analysis (Use R) 2nd ed. 2016 Edition by Hadley Wickham