ISI-BUDS Summer 2023 Schedule (July 10 - August 18)

The program meets daily from 9 am - 3:30 pm in DBH 2011, unless otherwise specified. Lunch will be from noon to 1:30pm.

Make sure to join our Slack workspace, you should have received an email. You may want to download the Slack app because we will be using this for communication throughout the program. Make sure notifications are on.

Day 1, July 10, 2023

Topic	Materials
Happy Git and GitHub for the useR installation manual
GitHub Username Survey
Setup
R & Rstudio
Quarto
GitHub
Lab: practice reproducible reports	Solution HTML file: (Qmd file: )

Day 2, July 11

Topic	Materials
Visualizing data with ggplot
Principles of visualization
Lab: plotting with ggplot	Solution HTML file: (Qmd file: )

Day 3, July 12

Topic	Materials
Intro to probability
Lab: inverse CDF method	Solution HTML file: (Qmd file: )

Day 4, July 13

Topic	Materials
More probability and Monte Carlo Integration
Lab: Monte Carlo Integration	Solution HTML file: (Qmd file: )

Day 5, July 14

Topic	Materials
Likelihood and Monte Carlo Inference
Lab: Monte Carlo Integration	Solution HTML file: (Qmd file: )
Project 1 intro

Day 6, July 17

Topic	Materials
Summarizing Data
Changing Variables
Subsetting Data
Joining Data
Lab: Data Wrangling	Solution HTML file: (Qmd file: )

Day 7, July 18

Topic	Materials
Good Workflow Practices
Working with Dates
Working with Strings
Working with Factors
Lab: Data Wrangling 2	Solution HTML file: (Qmd file: )

Day 8, July 19

Topic	Materials
Linear Models

Day 9, July 20

Topic	Materials
Generalized Linear Models
Lab: generalized linear models	Solution HTML file: (Qmd file: )

Day 10, July 21

Topic	Materials
Mixed Effect Models
Project 3 intro
Lab: generalized linear models	Solution HTML file: (Qmd file: )

Day 11, July 24

Topic	Materials
Goals of Statistics
Data analysis plan lab

Day 12, July 25

Topic	Materials
Covariate Adjustment
FEV data
FEV R Script
Prediction
Data analysis lab data

Day 13, July 26

Topic	Materials
Prediction continued
King County data
Prediction assessment functions
Prediction assessment examples
Data analysis lab writeup
Table 1 code

Day 14, July 27

Topic	Materials
Introduction to Bayesian Thinking
Probability Review
Bayes’ Rule for Events
Bayes’ Rule for Random Variables
The Beta Prior Model
The Beta Binomial Model

Day 15, July 28

Topic	Materials
Frequentist vs. Bayesian Inference
Learning to learn independently
Diversity, Equity, and Inclusion in Biostatistics Panel	Dr. Paloma Rojas Saunero Dr. Volodymyr Minin Kyle Conniff Moderator: Catalina Medina

Day 16, July 31

All day: Research in teams, office hours by faculty and student mentors

Day 17, August 1

All day: Research in teams, office hours by faculty and student mentors

Day 18, August 2

All day: Research in teams, office hours by faculty and student mentors

Topic	Materials
(10 am - noon) SoCal Data Science Research Symposium

Day 19, August 3

All day: Research in teams, office hours by faculty and student mentors

Topic	Materials
(1:30 - 3:30 pm) Writing Workshop lead by Federica Zoe Ricci

Day 20, August 4

All day: Research in teams, office hours by faculty and student mentors

Topic	Materials
(1:30 - 3:30 pm) Biostatistics Career Panel

Day 21, August 7 - Day 24, August 10

All day: Research in teams, office hours by faculty and student mentors

Day 25, August 11

All day: Research in teams, office hours by faculty and student mentors

Topic	Materials
(1:30 - 3:30 pm) Giving a scientific talk workshop lead by Bri

Day 26, August 14

All day: Research in teams, office hours by faculty and student mentors

Topic	Materials
(1:30 - 3:30 pm) Graduate school panel

Day 27, August 15 - Day 29, August 17

All day: Research in teams, office hours by faculty and student mentors

Day 30, August 18

All day: closing symposium, keynote speaker: Ji-Hyun Lee (U Florida)