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====Cluster Computing -- Dan Barker==== | ====Cluster Computing -- Dan Barker==== | ||
| − | + | *[Cluster Computing Slides] | |
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e450567f-0720-4154-9624-aeba014a4f0d&start=0 Recording] | |
====Study Design and Inference -- Dr. Rodrick Little==== | ====Study Design and Inference -- Dr. Rodrick Little==== | ||
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c011d778-b801-4a7b-8f2d-aebb00d6e95a&start=0 Recording] | |
====Observational Data, Bias -- Dr. Rodrick Little==== | ====Observational Data, Bias -- Dr. Rodrick Little==== | ||
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=3d3fdabc-9342-4b93-816a-aebb00f4096f&start=0 Recording] | |
====Probability Review -- Soumik Purkayastha==== | ====Probability Review -- Soumik Purkayastha==== | ||
| − | + | *[https://rpubs.com/soumikp/bdsi2022ProbSlides Slides] | |
| − | + | *[https://rpubs.com/soumikp/bdsi2022ProbHandout Handout] | |
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=57e7a634-7808-4225-980a-aebb0120c3c3&start=0 Recording] | |
====Parameter Estimation & Likelihood -- Dr. Rodrick Little==== | ====Parameter Estimation & Likelihood -- Dr. Rodrick Little==== | ||
====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==== | ||
| − | + | *[https://rpubs.com/soumikp/bdsi2022LinRegSlides Slides] | |
| − | + | *[https://rpubs.com/soumikp/bdsi2022LinRegHandout Handout] | |
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e3e64bb4-6c5a-4b7e-98ec-aebc01208962&start=0 Recording] | |
====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==== | ||
Revision as of 15:10, 13 July 2022
Contents
- 1 2022 Lectures
- 1.1 Week 1
- 1.1.1 On Being A Scientist: Responsible Conduct for Research in Science (RCRS) -- Dr. Bhramar Mukherjee
- 1.1.2 Cluster Computing -- Dan Barker
- 1.1.3 Study Design and Inference -- Dr. Rodrick Little
- 1.1.4 Observational Data, Bias -- Dr. Rodrick Little
- 1.1.5 Probability Review -- Soumik Purkayastha
- 1.1.6 Parameter Estimation & Likelihood -- Dr. Rodrick Little
- 1.1.7 Causal Inference -- Dr. Walter Dempsey
- 1.1.8 Linear Regression Review -- Soumik Purkayastha
- 1.1.9 Data Wrangling in R -- Mike Kleinsasser
- 1.1.10 Linear Algebra Review -- Rupam Bhattacharyya
- 1.1.11 Visualizing Data in R with ggplot2 -- Erin Hodgess
- 1.1.12 Journey Lecture -- Dr. Jeremy Taylor
- 1.2 Week 2
- 1.1 Week 1
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
Observational Data, Bias -- Dr. Rodrick Little
Probability Review -- Soumik Purkayastha
Parameter Estimation & Likelihood -- Dr. Rodrick Little
Causal Inference -- Dr. Walter Dempsey
Linear Regression Review -- Soumik Purkayastha
Data Wrangling in R -- Mike Kleinsasser
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
