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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6627a5d1-b57c-4338-a11a-aeba012b3492&start=0 Recording]
 
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6627a5d1-b57c-4338-a11a-aeba012b3492&start=0 Recording]
  
* Cluster Computing -- Dan Barker
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Cluster Computing -- Dan Barker
 
   -[Cluster Computing Slides]
 
   -[Cluster Computing Slides]
 
   -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e450567f-0720-4154-9624-aeba014a4f0d&start=0 Recording]
 
   -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e450567f-0720-4154-9624-aeba014a4f0d&start=0 Recording]

Revision as of 15:06, 13 July 2022

2022 Lectures

Week 1

Al-Marzouki - The effect of scientific misconduct on the results of clinical trials: A Delphi survey Baggerly Coombes - Deriving Chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology Benjamini - Redefine statistical significance Ethical guidelines - Ethical Guidelines for Statistical Practice article Ethics reviews - Ethical statistical practice review slides Moving to a World beyond - Moving to a World Beyond “p < 0.05”

On Being A Scientist: Responsible Conduct for Research in Science (RCRS) -- Dr. Bhramar Mukherjee

Cluster Computing -- Dan Barker

  -[Cluster Computing Slides]
  -Recording
  • Study Design and Inference -- Dr. Rodrick Little
  -Recording
  • Observational Data, Bias -- Dr. Rodrick Little
  -Recording
  • Probability Review -- Soumik Purkayastha
  -Slides
  -Handout
  -Recording
  • Parameter Estimation & Likelihood -- Dr. Rodrick Little
  • Causal Inference -- Dr. Walter Dempsey
  -Recording
  • Linear Regression Review -- Soumik Purkayastha
  -Slides
  -Handout
  -Recording
  • Data Wrangling in R -- Mike Kleinsasser
  -Recording Part I
  -Recording Part II
  • Linear Algebra Review -- Rupam Bhattacharyya
  -Recording
  • Visualizing Data in R with ggplot2 -- Erin Hodgess
  • Journey Lecture -- Dr. Jeremy Taylor
  -Recording

Week 2

  • Python Parts I & II -- Dr. Fred Feng
  -Recording Part I
  -Recording Part II
  • Generalized Linear Models Review -- Jon Boss
  -Recording
  • Python Parts III & IV -- Dr. Fred Feng
  • Logistic Regression Review -- Elizabeth Chase
  • Machine Learning -- Dr. Maggie Makar
  • R Markdown -- Dr. Phil Boonstra
  • Prediction Analysis -- Dr. Phil Boonstra
  • Correlated Data Models -- Irena Chen
  • Unsupervised Learning & Clustering -- Dr. Somayeh Molaei
  • Journey Lecture -- Dr. Jean Morrison