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====Python Parts III & IV - Dr. Fred Feng==== | ====Python Parts III & IV - Dr. Fred Feng==== | ||
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=a4485364-d9cd-47d0-89fb-aec200d77613 Recording] | ||
====Logistic Regression Review - Elizabeth Chase==== | ====Logistic Regression Review - Elizabeth Chase==== | ||
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f4b04698-9a89-4d9f-848f-aec20120e02c Recording] | ||
====Machine Learning - Dr. Maggie Makar==== | ====Machine Learning - Dr. Maggie Makar==== | ||
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6c25df72-3a32-4414-9c37-aec300d5f1e6 Part I Recording] | ||
| + | *[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=08be2c44-0b03-42b6-935c-aec300f4b4b0 Part II Recording] | ||
====R Markdown - Dr. Phil Boonstra==== | ====R Markdown - Dr. Phil Boonstra==== | ||
| + | *[ Recording] | ||
====Prediction Analysis - Dr. Phil Boonstra==== | ====Prediction Analysis - Dr. Phil Boonstra==== | ||
Revision as of 16:25, 13 July 2022
Contents
- 1 2022 Lectures
- 1.1 Week 1
- 1.1.1 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 - Dr. 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
- 1.5 Week 5
- 1.5.1 Deep Learning - Dr. Jian Kang
- 1.5.2 Optimization - Dr. Jian Kang
- 1.5.3 Natural Language Processing - Dr. Karandeep Singh
- 1.5.4 Radiation Oncology - Dr. Arvind Rao
- 1.5.5 Clinical Trials - Dr. Kelley Kidwell
- 1.5.6 Electronic Health Records - Dr. Sachin Kheterpal
- 1.5.7 Precision Health for Diverse Populations - Dr. Jennifer Smith
- 1.5.8 Better, Not Just Bigger, Data Analytics - Dr. Brahmajee Nallamothu
- 1.5.9 Policy and Machine Learning - Dr. Rahul Ladania
- 1.5.10 Journey Lecture - Dr. Snigdha Panigrahi
- 1.6 Week 6
- 1.7 Research Symposium
- 1.8 Professional Development Day
- 1.1 Week 1
2022 Lectures
Week 1
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
Study Design and Inference - Dr. Rod Little
Parameter Estimation and Likelihood - Dr. Rodrick Little
Probability Review - Soumik Purkayastha
Observational Data and Bias - Dr. Rod Little
Causal Inference - Dr. Walter Dempsey
Linear Regression Review - Soumik Purkayastha
Data Wrangling in R - Mike Kleinsasser
Linear Algebra Review - Rupam Bhattacharyya
Visualizing Data in R with ggplot2 - Dr. Erin Hodgess
Journey Lecture - Dr. Jeremy Taylor
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
Machine Learning - Dr. Maggie Makar
R Markdown - Dr. Phil Boonstra
- [ Recording]
