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     -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ddb75538-d5ab-416e-927a-ad4e00d1dcfd Recording]
 
     -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ddb75538-d5ab-416e-927a-ad4e00d1dcfd Recording]
 
*Causal Inference - Dr. Walter Dempsey
 
*Causal Inference - Dr. Walter Dempsey
    -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6df9ea5c-c760-4001-89d6-ad4e013004cb Recording]
 
    -[https://drive.google.com/file/d/1YuBshVZ-06JjZM9RG6SjZxhBZAyJUSIh/view?usp=sharing Causal Inference Slides]
 
 
*Model Selection - Nicky Wakim
 
*Model Selection - Nicky Wakim
 
     -[https://umich.zoom.us/rec/share/kMgiz3jT24I-KEKC0PqpgTojLOvbwxY0v9NjEy1DYFpzVoSy8hXGoz5v3cmFFlMs._v8fupSuq--thOrl?startTime=1624281763000 Recording]
 
     -[https://umich.zoom.us/rec/share/kMgiz3jT24I-KEKC0PqpgTojLOvbwxY0v9NjEy1DYFpzVoSy8hXGoz5v3cmFFlMs._v8fupSuq--thOrl?startTime=1624281763000 Recording]

Revision as of 15:19, 7 July 2021

Welcome to the U-M Big Data Summer Institute 2021 Wiki!

Electronic Health Records Group

Machine Learning Group

Imaging Group

Data Mining Group

Lectures

Week 1

  • Study Design and Inference, Observational Data and Bias, Parameter Estimation and Likelihood - Dr. Rod Little
    -Part 1, Part 1 Slides
    -Part 2, Part 2 Slides
    -Part 3, Part 3 Slides
    -Part 4, Part 4 Slides
    -Part 5, Part 5 Slides
  • Linear Algebra - Lap Sum Chan
    -Recording
    -Linear Algebra Slides
  • Linear Regression - Fatema Shafie Khorassani
    -Recording
    -Linear Regression Slides
  • Probability - Rupam Bhattacharyya
    -Recording
    -Probability Slides
  • Data Wrangling in R with dplyr - Dr. Matthew Flickinger
    -Lecture Slides
  • Data Visualization in R with ggplot2 - Dr. Matthew Flickinger
    -Lecture Slides

Week 2

  • Machine Learning - Dr. Jenna Wiens
  • Data Mining - Jiong Zhu
  • Logistic Regression - Aubrey Annis
    -Recording
    -Logistic Regression Slides
  • Generalized Linear Models - Aubrey Annis
    -Recording
    -GLM Slides
  • R Markdown - Dr. Phil Boonstra
    -Synchronous Lecture Recording
    -R Markdown Slides
  • Python - Dr. Fred Feng
    -Synchronous Lecture Part I and II Recording
    -Synchronous Lecture Part III and IV Recording


Week 3

  • Assessment of Predictive Models - Dr. Phil Boonstra
    -Recording
  • Causal Inference - Dr. Walter Dempsey
  • Model Selection - Nicky Wakim
    -Recording
    -AUC/ROC Recording
    -Model Selection Slides
    -Annotated Model Selection Slides
  • Data Visualization Workshop
    -Synchronous Lecture Recording
    -Data Visualization Slides

Week 4

  • Introduction to Bayes - Dr. Xiaoquan William Wen
    -Intro to Bayes I Recording
    -Intro to Bayes II Recording
    -Intro to Bayes I Slides
    -Intro to Bayes II Slides
  • Missing Data - Dr. Peisong Han
  • Clustering - Fahad Kamran
    -Clustering I Recording
    -Clustering II Recording
    -Clustering I Slides
    -Clustering II Slides

Week 5

  • Social Networks - Dr. Eytan Adar
    -Recording
    -Social Network Slides
  • Electronic Health Records - Dr. Xu Shi
  • Genetics/Genomics - Dr. Jean Morrison
  • Precision Health - Dr. Sachin Kheterpal

Week 6

  • Data Integration and Precision Medicine - Dr. Veera Baladandayuthapani
  • Health Disparities in Strokes - Dr. Lynda Lisabeth
  • Radiation Oncology - Dr. Arvind Rao
  • Better, Not Just Bigger Data Analytics - Dr. Brahmajee Nallamothu
  • Scientific Writing - Dr. Brett Griffiths
  • Pick Me! - Dr. Brett Griffiths

Week 7

  • Clinical Trials - Dr. Kelley Kidwell
  • Preparing for Graduate School - Dr. Kelley Kidwell
  • CVs and Resumes - Krystle Forbes

Week 8

Journey Lectures

Past BDSI Student Poster Presentations

2019 Student Poster Presentations

2018 Student Poster Presentations

2017 Student Poster Presentations

2017 Symposium Group Posters

Additional Resources