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=== Week 1 === | === Week 1 === | ||
| − | + | [[Media:Al-Marzouki_s05.pdf|Al-Marzouki]] - The effect of scientific misconduct on the results of clinical trials: A Delphi survey | |
| − | + | [[Media: Baggerlycoombes.pdf|Baggerly Coombes]] - Deriving Chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology | |
| − | + | [[Media: Benjaminisignificance.pdf|Benjamini]] - Redefine statistical significance | |
| − | + | [[Media: Ethicalguidelines.pdf|Ethical guidelines]] - Ethical Guidelines for Statistical Practice article | |
| − | + | [[Media: Ethics_review.ppt|Ethics reviews]] - Ethical statistical practice review slides | |
| − | + | [[Media: Moving_to_a_World_Beyond_p_0_05.pdf|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 | |
| − | + | *[[Media:On_being_scientist_2009.pdf|On Being A Scientist Article]] | |
| − | + | *[[Media:On+Being+A+Scientist.pptx| Slides]] | |
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6627a5d1-b57c-4338-a11a-aeba012b3492&start=0 Recording] | |
* Cluster Computing -- Dan Barker | * Cluster Computing -- Dan Barker | ||
Revision as of 14:06, 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
