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== 2022 Lectures ==
 
== 2022 Lectures ==
  

Revision as of 13:29, 1 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
 -On Being A Scientist Article
 - Slides
 -Recording
  • 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