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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