Difference between revisions of "Main Page"
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e450567f-0720-4154-9624-aeba014a4f0d&start=0 Recording] | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e450567f-0720-4154-9624-aeba014a4f0d&start=0 Recording] | ||
| − | ====Study Design and Inference - Dr. | + | ====Study Design and Inference - Dr. Rod Little==== |
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c011d778-b801-4a7b-8f2d-aebb00d6e95a&start=0 Recording] | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=c011d778-b801-4a7b-8f2d-aebb00d6e95a&start=0 Recording] | ||
| − | ==== | + | ====Parameter Estimation and Likelihood - Dr. Rodrick Little==== |
| − | |||
====Probability Review - Soumik Purkayastha==== | ====Probability Review - Soumik Purkayastha==== | ||
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=57e7a634-7808-4225-980a-aebb0120c3c3&start=0 Recording] | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=57e7a634-7808-4225-980a-aebb0120c3c3&start=0 Recording] | ||
| − | ==== | + | ====Observational Data and Bias - Dr. Rod Little==== |
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=3d3fdabc-9342-4b93-816a-aebb00f4096f&start=0 Recording] | ||
====Causal Inference - Dr. Walter Dempsey==== | ====Causal Inference - Dr. Walter Dempsey==== | ||
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====Linear Algebra Review - Rupam Bhattacharyya==== | ====Linear Algebra Review - Rupam Bhattacharyya==== | ||
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1e37e945-7634-45a2-aba6-aebd01212e07&start=0 Recording] | |
====Visualizing Data in R with ggplot2 - Erin Hodgess==== | ====Visualizing Data in R with ggplot2 - Erin Hodgess==== | ||
====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==== | ====Python Parts I & II - Dr. Fred Feng==== | ||
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f3164ddb-0da1-4312-9ec9-aec100d71dc2&start=0 Recording Part I] | |
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=667bef44-8771-429a-a537-aec100ef1217&start=0 Recording Part II] | |
====Generalized Linear Models Review - Jon Boss==== | ====Generalized Linear Models Review - Jon Boss==== | ||
| − | + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=0fb339ed-5f8b-4f8f-b0da-aec10121401b&start=0 Recording] | |
====Python Parts III & IV - Dr. Fred Feng==== | ====Python Parts III & IV - Dr. Fred Feng==== | ||
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====Logistic Regression Review - Elizabeth Chase==== | ====Logistic Regression Review - Elizabeth Chase==== | ||
| − | ====Machine Learning | + | ====Machine Learning - Dr. Maggie Makar==== |
====R Markdown - Dr. Phil Boonstra==== | ====R Markdown - Dr. Phil Boonstra==== | ||
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====Prediction Analysis - Dr. Phil Boonstra==== | ====Prediction Analysis - Dr. Phil Boonstra==== | ||
| − | ====Correlated Data | + | ====Correlated Data Review - Irena Chen===== |
| − | ====Unsupervised Learning | + | ====Unsupervised Learning and Clustering - Dr. Somayeh Molaei==== |
====Journey Lecture - Dr. Jean Morrison==== | ====Journey Lecture - Dr. Jean Morrison==== | ||
| + | |||
| + | === Week 3 === | ||
| + | |||
| + | ====Data Mining - Dr. Somayeh Molaei==== | ||
| + | |||
| + | ====Scientific Writing - Dr. Brett Griffiths==== | ||
| + | |||
| + | ====Pick Me! - Dr. Brett Griffiths==== | ||
| + | |||
| + | ====Model Selection - Yichen Si==== | ||
| + | |||
| + | ====Visualization Workshop - Diamond Buchanan==== | ||
| + | |||
| + | ====Health Data Science Concentration Presentation - Dr. Hui Jiang==== | ||
| + | |||
| + | ====Journey Lecture - Pedro Orozco del Pino==== | ||
| + | |||
| + | ===Week 4=== | ||
| + | |||
| + | ====Genetics and Genomics - Dr. Jean Morrison==== | ||
| + | |||
| + | ====Spatial Epidemiology - Dr. Jon Zelner==== | ||
| + | |||
| + | ====Intro to Bayes - Dr. William Wen==== | ||
| + | |||
| + | ====Stroke Disparities - Dr. Lynda Lisabeth==== | ||
| + | |||
| + | ====Personalized Medicine - Dr. Lars Fritsche==== | ||
| + | |||
| + | ====Missing Data - Dr. Peisong Han==== | ||
| + | |||
| + | ====Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor==== | ||
| + | |||
| + | ====Human Centered Computing - Dr. Nikola Banovic==== | ||
Revision as of 14:51, 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. Rod Little
- 1.1.4 Parameter Estimation and Likelihood - Dr. Rodrick Little
- 1.1.5 Probability Review - Soumik Purkayastha
- 1.1.6 Observational Data and Bias - Dr. Rod 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
- 1.2.1 Python Parts I & II - Dr. Fred Feng
- 1.2.2 Generalized Linear Models Review - Jon Boss
- 1.2.3 Python Parts III & IV - Dr. Fred Feng
- 1.2.4 Logistic Regression Review - Elizabeth Chase
- 1.2.5 Machine Learning - Dr. Maggie Makar
- 1.2.6 R Markdown - Dr. Phil Boonstra
- 1.2.7 Prediction Analysis - Dr. Phil Boonstra
- 1.2.8 Correlated Data Review - Irena Chen=
- 1.2.9 Unsupervised Learning and Clustering - Dr. Somayeh Molaei
- 1.2.10 Journey Lecture - Dr. Jean Morrison
- 1.3 Week 3
- 1.3.1 Data Mining - Dr. Somayeh Molaei
- 1.3.2 Scientific Writing - Dr. Brett Griffiths
- 1.3.3 Pick Me! - Dr. Brett Griffiths
- 1.3.4 Model Selection - Yichen Si
- 1.3.5 Visualization Workshop - Diamond Buchanan
- 1.3.6 Health Data Science Concentration Presentation - Dr. Hui Jiang
- 1.3.7 Journey Lecture - Pedro Orozco del Pino
- 1.4 Week 4
- 1.4.1 Genetics and Genomics - Dr. Jean Morrison
- 1.4.2 Spatial Epidemiology - Dr. Jon Zelner
- 1.4.3 Intro to Bayes - Dr. William Wen
- 1.4.4 Stroke Disparities - Dr. Lynda Lisabeth
- 1.4.5 Personalized Medicine - Dr. Lars Fritsche
- 1.4.6 Missing Data - Dr. Peisong Han
- 1.4.7 Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor
- 1.4.8 Human Centered Computing - Dr. Nikola Banovic
- 1.1 Week 1
2022 Lectures
Week 1
On Being A Scientist: Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee
- 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 Article
- Slides
- Recording
Cluster Computing - Dan Barker
- [Cluster Computing Slides]
- Recording
