Difference between revisions of "Main Page"
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* Causal Inference -- Dr. Walter Dempsey | * Causal Inference -- Dr. Walter Dempsey | ||
| + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a1f612be-5d90-4b2c-b3cc-aebc00f3f0e3&start=0 Recording] | ||
* Linear Regression Review -- Soumik Purkayastha | * Linear Regression Review -- Soumik Purkayastha | ||
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* Data Wrangling in R -- Mike Kleinsasser | * Data Wrangling in R -- Mike Kleinsasser | ||
| + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=27294f7f-ebf9-4c06-8073-aebd00d69bec&start=0 Recording Part I] | ||
| + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=0bad8584-8404-4110-927a-aebd00f3b8ca&start=0 Recording Part II] | ||
* Linear Algebra Review -- Rupam Bhattacharyya | * Linear Algebra Review -- Rupam Bhattacharyya | ||
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* Journey Lecture -- Dr. Jeremy Taylor | * Journey Lecture -- Dr. Jeremy Taylor | ||
| + | -[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=3e2002cd-e019-4b6e-a645-aebe01151648&start=0 Recording] | ||
=== Week 2 === | === Week 2 === | ||
| + | |||
| + | * Python Parts I & II -- Dr. Fred Feng | ||
| + | |||
| + | * Generalized Linear Models Review -- Jon Boss | ||
| + | |||
| + | * Python Parts III & IV -- Dr. Fred Feng | ||
| + | |||
| + | * Logistic Regression Review -- Elizabeth Chase | ||
Revision as of 09:06, 28 June 2022
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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 -RCRS Slides -RCRS Recording
- Cluster Computing -- Dan Barker
-[Cluster Computing Slides] -Cluster Computing Recording
- Study Design and Inference -- Dr. Rodrick Little
- Observational Data, Bias -- Dr. Rodrick Little
- Probability Review -- Soumik Purkayastha
-Probability Review Slides -Probability Review Handout -Probability Review Recording
- Parameter Estimation & Likelihood -- Dr. Rodrick Little
- Causal Inference -- Dr. Walter Dempsey
-Recording
- Linear Regression Review -- Soumik Purkayastha
-Linear Regression Review Slides -Linear Regression Review Handout -Linear Regression Review Recording
- Data Wrangling in R -- Mike Kleinsasser
-Recording Part I -Recording Part II
- Linear Algebra Review -- Rupam Bhattacharyya
- Visualizing Data in R with ggplot2 -- Erin Hodgess
- Journey Lecture -- Dr. Jeremy Taylor
-Recording
Week 2
- Python Parts I & II -- Dr. Fred Feng
- Generalized Linear Models Review -- Jon Boss
- Python Parts III & IV -- Dr. Fred Feng
- Logistic Regression Review -- Elizabeth Chase
