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Statistical Analysis with R for Reproducible Research (Cohort 2)
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Live Zoom
TBA
20230228 - Office Hours Day 1
20230303 - Office Hours Day 2
20230307 - Office Hours Day 3
20230310 - Office Hours Day 4
20230314 - Office Hours Day 5
20230317 - Office Hours Day 6
Day 1 Slides
Day 1 Recording (one long video)
Course Intro - About the course
Journey at a Glance
Topic: R Programming Foundation
Topic: Statistical Analysis
Topic: Reproducible Research
Topic: Example Project Idea
Part 7
Questions and Answers
Motivational talk
Biggest Issue for Learners
Installation Steps
Installation Steps Demo Part 1
Installation Steps Demo Part 2
Creating your first Notebook
Review of Day 1
Rstudio Interface
Installing Packages
Running a Notebook
Data types in R (theory)
Data type - Vector
Data type - Matrix
Data type - List
Quiz 1
Greeting
Agenda today
Factor data type
Ordering factor data type
Review of Matrix
Introduction to Data Frame
Structure: Atomic Vector
Structure: Matrix
Attributes: Matrix
Structure: Data Frame
Subsetting
Introduction
Subsetting a Matrix
Assigning values
Subsetting a List
tidyverse Introduction
dplyr Introduction
Troubleshooting - object not found :(
Quiz 2
Day 5 recording (full session)
Part 1
Part 2
Part 3
Part 4
Part 5
Part 6
Part 7
Part 8
Part 9
Part 10
Quiz3
Day 7 Recording (full length)
r4res2-d7-p01
r4res2-d7-p02
r4res2-d7-p03
r4res2-d7-p04
r4res2-d7-p05
r4res2-d7-p06
r4res2-d7-p07
r4res2-d7-p08
r4res2-d7-p09
r4res2-d7-p10
r4res2-d7-p11
r4res2-d7-p12
r4res2-d7-p13
r4res2-d7-p14
r4res2-d7-p15
r4res2-d7-p16
r4res2-d7-p17
r4res2-d7-p18
r4res2-d7-p19
r4res2-d7-p20
r4res2-d7-p21
r4res2-d7-p22
Day 8 Recording (full length)
Recording
Lesson plan
Five parts of hypothesis tests part 1
Five parts of hypothesis tests part 2
Part 1: Assumptions
Part 2: Null and alternative hypotheses
Part 3: Test statistic
Part 4: Acceptance and rejection regions
Part 5: Decision/conclusion
Alpha level of significance
Confidence interval - theory
Confidence interval - simulation
Exercise - test for a single population mean
Part 1 Review of previous lecture
Part 2 Degrees of freedom definition + intuition
Part 3 Degrees of freedom of a statistic
Part 4 Degrees of freedom of t-test
Part 5 Degrees of freedom of Chi-square test
Part 6 Project organization overview
Part 7 Project 1 description
Part 8 Rstudio demonstration Part 1
Part 9 Rstudio demonstration Part 2
Part 1 Introduction
Part 2 Opening the project in Rstudio
Part 3 Importance of reproducible report
Part 4 Relevant R libraries
Part 5 R libraries
Part 6 gtsummary
Part 7 arsenal
Part 8 finalfit
Part 9 summarytools
Part 10 Working with gtsummary
Part 11 Debugging data type issue
Part 12 Table 1 summary part 1
Part 13 Table 1 summary part 2
Part 14 Chi-square test details
Part 15 Chi-square expected count
Part 16 Question and answer
Part 17 Home work
Part 18 Announcement on next class
Part 1 - Concept of Correlation
Part 2 - Simple linear regression
Part 3 - Assumptions in linear regression
Part 4 - Multiple linear regression model
Part 5 - Hypothesis test of regression coeffients
Part 6 - Global null hypothesis or omnibus test
Part 7 - ANOVA, R2 and Adjusted R2
Part 1
Part 2
Part 3
Part 4
Part 5
Part 6
Part 1
Part 2
Part 3
Part 4
Part 5
Part 6
Part 7
Part 8
TBA
START HERE
FAQ
Resources
How to be successful in this course
Class schedule
Preview
Download Code Files
Requests from Participants
LIVE SESSIONS
Live Zoom
HOMEWORKS
TBA
OFFICE HOURS
20230228 - Office Hours Day 1
20230303 - Office Hours Day 2
20230307 - Office Hours Day 3
20230310 - Office Hours Day 4
20230314 - Office Hours Day 5
20230317 - Office Hours Day 6
Day 1 - Step into R
Day 1 Slides
Day 1 Recording (one long video)
Course Intro - About the course
Journey at a Glance
Topic: R Programming Foundation
Topic: Statistical Analysis
Topic: Reproducible Research
Topic: Example Project Idea
Part 7
Questions and Answers
Motivational talk
Biggest Issue for Learners
Installation Steps
Installation Steps Demo Part 1
Installation Steps Demo Part 2
Creating your first Notebook
Day 2 - Data types in R
Review of Day 1
Rstudio Interface
Installing Packages
Running a Notebook
Data types in R (theory)
Data type - Vector
Data type - Matrix
Data type - List
Quiz 1
Day 3 - Structure and Attributes of Objects
Greeting
Agenda today
Factor data type
Ordering factor data type
Review of Matrix
Introduction to Data Frame
Structure: Atomic Vector
Structure: Matrix
Attributes: Matrix
Structure: Data Frame
Subsetting
Day 4 - Subsetting, Intro to tidyverse
Introduction
Subsetting a Matrix
Assigning values
Subsetting a List
tidyverse Introduction
dplyr Introduction
Troubleshooting - object not found :(
Preview
Quiz 2
Day 5 - dplyr verbs
Day 5 recording (full session)
Day 6 - dplyr and beyond
Part 1
Part 2
Part 3
Part 4
Part 5
Part 6
Part 7
Part 8
Part 9
Part 10
Quiz3
Day 7 - Reading External Data
Day 7 Recording (full length)
r4res2-d7-p01
r4res2-d7-p02
r4res2-d7-p03
r4res2-d7-p04
r4res2-d7-p05
r4res2-d7-p06
r4res2-d7-p07
r4res2-d7-p08
r4res2-d7-p09
r4res2-d7-p10
r4res2-d7-p11
r4res2-d7-p12
r4res2-d7-p13
r4res2-d7-p14
r4res2-d7-p15
r4res2-d7-p16
r4res2-d7-p17
r4res2-d7-p18
r4res2-d7-p19
r4res2-d7-p20
r4res2-d7-p21
r4res2-d7-p22
Day 8 - Creating Statistical Summaries
Day 8 Recording (full length)
Day 9 - Review of Sampling Distribution
Recording
Day 10 - Hypothesis Tests
Lesson plan
Five parts of hypothesis tests part 1
Five parts of hypothesis tests part 2
Part 1: Assumptions
Part 2: Null and alternative hypotheses
Part 3: Test statistic
Part 4: Acceptance and rejection regions
Part 5: Decision/conclusion
Alpha level of significance
Confidence interval - theory
Confidence interval - simulation
Exercise - test for a single population mean
Day 11 - Data Analysis Project 1 - Pancreatitis
Part 1 Review of previous lecture
Part 2 Degrees of freedom definition + intuition
Part 3 Degrees of freedom of a statistic
Part 4 Degrees of freedom of t-test
Part 5 Degrees of freedom of Chi-square test
Part 6 Project organization overview
Part 7 Project 1 description
Part 8 Rstudio demonstration Part 1
Part 9 Rstudio demonstration Part 2
Day 12 - Data Analysis Project 1 - Continues
Part 1 Introduction
Part 2 Opening the project in Rstudio
Part 3 Importance of reproducible report
Part 4 Relevant R libraries
Part 5 R libraries
Part 6 gtsummary
Part 7 arsenal
Part 8 finalfit
Part 9 summarytools
Part 10 Working with gtsummary
Part 11 Debugging data type issue
Part 12 Table 1 summary part 1
Part 13 Table 1 summary part 2
Part 14 Chi-square test details
Part 15 Chi-square expected count
Part 16 Question and answer
Part 17 Home work
Part 18 Announcement on next class
Self Study - Linear Regression
Part 1 - Concept of Correlation
Preview
Part 2 - Simple linear regression
Preview
Part 3 - Assumptions in linear regression
Preview
Part 4 - Multiple linear regression model
Preview
Part 5 - Hypothesis test of regression coeffients
Preview
Part 6 - Global null hypothesis or omnibus test
Preview
Part 7 - ANOVA, R2 and Adjusted R2
Preview
Day 13 Logistic Regression
Part 1
Part 2
Part 3
Part 4
Part 5
Part 6
Day 14 - Logistic Regression
Part 1
Part 2
Part 3
Part 4
Part 5
Part 6
Part 7
Part 8
Assessment
TBA
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