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===Week 1 ===
 
===Week 1 ===
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*[[Media:2022_BDSI_Draft_Orientation_Schedule.pdf|2022 BDSI Orientation Schedule]]
  
 
====Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee====
 
====Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee====
*[[Media:Al-Marzouki_s05.pdf|Al-Marzouki]] - The effect of scientific misconduct on the results of clinical trials: A Delphi survey
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*[https://drive.google.com/file/d/1uJxn0iUaAA_qRfn2CB5tPt7NpLPZi9SK/view?usp=sharing RCRS Slides]
*[[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”
 
*[[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 Recording]
 
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=6627a5d1-b57c-4338-a11a-aeba012b3492 Recording]
  
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====Visualizing Data in R with ggplot2 - Dr. Erin Hodgess====
 
====Visualizing Data in R with ggplot2 - Dr. Erin Hodgess====
 
*[https://drive.google.com/file/d/1h3gwW_x849_mwTgIPWSwiQ9pnPvGEHQV/view?usp=sharing ggplot2 Slides]
 
*[https://drive.google.com/file/d/1h3gwW_x849_mwTgIPWSwiQ9pnPvGEHQV/view?usp=sharing ggplot2 Slides]
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=869f0b21-7a67-4091-84b8-aebe00d6c22e Recording]
  
 
====Journey Lecture - Dr. Jeremy Taylor====
 
====Journey Lecture - Dr. Jeremy Taylor====
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====Python Parts I & II - Dr. Fred Feng====
 
====Python Parts I & II - Dr. Fred Feng====
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*[http://umich.edu/~fredfeng/bdsi Python (All Parts) Slides]
 
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f3164ddb-0da1-4312-9ec9-aec100d71dc2 Recording Part I]
 
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=f3164ddb-0da1-4312-9ec9-aec100d71dc2 Recording Part I]
 
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=667bef44-8771-429a-a537-aec100ef1217 Recording Part II]
 
*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=667bef44-8771-429a-a537-aec100ef1217 Recording Part II]
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====Scientific Writing - Dr. Brett Griffiths====
 
====Scientific Writing - Dr. Brett Griffiths====
 
*[https://docs.google.com/presentation/d/1ch6rskrvGveqOE4YyFqgM5W5WNL2LreOpKc2H0BS7JA/edit?usp=sharing Scientific Writing Slides]
 
*[https://docs.google.com/presentation/d/1ch6rskrvGveqOE4YyFqgM5W5WNL2LreOpKc2H0BS7JA/edit?usp=sharing Scientific Writing Slides]
*No recording available
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=ae9b280f-8fc7-4f2f-95f2-aeca00d8a2ff&start=0 Recording]
  
 
====Pick Me! - Dr. Brett Griffiths====
 
====Pick Me! - Dr. Brett Griffiths====
 
*[[Media:Pick_Me-BDSI-Writing_Statements.pdf|Pick Me Slides]]
 
*[[Media:Pick_Me-BDSI-Writing_Statements.pdf|Pick Me Slides]]
*No recording available
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=e5820878-4cee-481c-ac29-aeca00f4f50d&start=0 Recording]
  
 
====Model Selection - Yichen Si====
 
====Model Selection - Yichen Si====
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====Spatial Epidemiology - Dr. Jon Zelner====
 
====Spatial Epidemiology - Dr. Jon Zelner====
 
*[https://jzelner.github.io/document-garden/talks/no_equal_opportunity_infectors_bdsi.html Spatial Epidemiology Slides]
 
*[https://jzelner.github.io/document-garden/talks/no_equal_opportunity_infectors_bdsi.html Spatial Epidemiology Slides]
*No recording available
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=2bcbbfdc-5e98-4b03-aaf2-aecf00f3b4b7 Recording]
  
 
====Intro to Bayes - Dr. William Wen====
 
====Intro to Bayes - Dr. William Wen====
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====Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor====
 
====Bioinformatics and Epidemiology Career Roundtable - Dr. Maureen Sartor====
 
*[https://drive.google.com/file/d/1dssLq_Iegb4Lwl8VV_Nf17nNd0PJYb_8/view?usp=sharing Roundtable Slides]
 
*[https://drive.google.com/file/d/1dssLq_Iegb4Lwl8VV_Nf17nNd0PJYb_8/view?usp=sharing Roundtable Slides]
*No recording available
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*[https://sph.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=28c4bdbc-4247-4b4d-a3db-aed300d89455&start=0 Recording]
  
 
====Human Centered Computing - Dr. Nikola Banovic====
 
====Human Centered Computing - Dr. Nikola Banovic====
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====Bayesian Precision Health - Dr. Veera Baladandayuthapani====
 
====Bayesian Precision Health - Dr. Veera Baladandayuthapani====
 
*[https://docs.google.com/presentation/d/1HChD4zOVAYKEIWokWfFKMtwVcKn5Bh4b/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Bayesian Precision Health Slides]
 
*[https://docs.google.com/presentation/d/1HChD4zOVAYKEIWokWfFKMtwVcKn5Bh4b/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Bayesian Precision Health Slides]
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*No recording available
  
 
====Microaggressions Workshop - Dr. Yatesha Robinson====
 
====Microaggressions Workshop - Dr. Yatesha Robinson====
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== Research Symposium ==
 
== Research Symposium ==
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*[[Media:2022_BDSI_Symposium_Flyer.pdf|2022 BDSI Symposium Flyer]]
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*[https://drive.google.com/file/d/1H8fDzDq3sg81QFg_1gbNRif4ABwroq5c/view?usp=sharing 2022 BDSI Symposium Program]
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====Research Group Presentations====
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*[https://drive.google.com/file/d/1q8-oOSf5RC6IVlrw8hmoA6sqEOVhwt26/view?usp=sharing Genomics Presentation]
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*[https://drive.google.com/file/d/1WFnnfnZf1SE6jhusPSZXjwI3Y9oQhKZP/view?usp=sharing Data Mining Presentation]
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*[https://drive.google.com/file/d/11PQBBgHynrUVU6t4lRmmIRRNkQ8CjMoK/view?usp=sharing Infectious Disease Presentation]
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*[https://drive.google.com/file/d/1telTxDSWXeUcNHnLmxIec8hH8NVzUcI-/view?usp=sharing Machine Learning Presentation]
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*[https://umich.zoom.us/rec/share/sjJ7kYQCiSaAFvb8ML6ScbuEn4M5wLkhrNghxvsTFlQmyXWgrZq57ziv0lZp_nNM.tNYofrguteA_OTrK Presentation Recording]
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====Research Group Posters====
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Genomics
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*[https://drive.google.com/file/d/1mcl9VfMBUdoBTatWmzJm7JzvCE17e2dq/view?usp=sharing Associations Between Disease Variants and Differential Methylation Among Ancestry Group]
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*[https://drive.google.com/file/d/1QtE-SaPzOfnJfCbnlvBxEgtlX0K4IMPa/view?usp=sharing Applications of Spatially Resolved Transcriptomics to the Mouse Hippocampus]
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Data Mining
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*[https://drive.google.com/file/d/1grKhUnJyeXr9F06yN-iIZDCJ_0LHoaiZ/view?usp=sharing Investigations of Influenza Vaccine Uptake Towards the Beginning of the COVID-19 Pandemic]
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*[https://drive.google.com/file/d/16_FhlUsHMOxJNY0t-MvfIqjA5RNBFk08/view?usp=sharing Changing Sexually Transmitted Infection Rates and Case Deficits]
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Infectious Disease
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*[https://drive.google.com/file/d/1zkTiQZraC0dLfuiVMc5VTJL_19uWqokg/view?usp=sharing Compartmental Modeling of SARS-CoV-2 in Brazil]
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*[https://drive.google.com/file/d/1FdvPrnKVGNVhym7DR5znr5jmxlOY3Lpp/view?usp=sharing Modeling SARS-CoV-2 in Mexico]
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*[https://drive.google.com/file/d/1o14aNwjjFlyDq1sSMi9Sdd2m87rC6Vxb/view?usp=sharing Modeling SARS-CoV-2 Data in Israel]
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Machine Learning
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*[https://drive.google.com/file/d/1sGSW-cXhn9zfNmoqsHXWeLAKamIewEmS/view?usp=sharing Using TensorBoard to Visualize Tumor Segmentation Data]
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*[https://drive.google.com/file/d/1u7p80p9wioKv7w-vi5NZZV1hiKUVRtvd/view?usp=sharing Local Interpretable Model-Agnostic Explanations for Medical Image Segmentation]
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*[https://drive.google.com/file/d/1NF5KD1tu9xs2Io8QrByfwDX1LwQhB7Va/view?usp=sharing Quantifying Uncertainty in a Tumor Segmentation Model]
  
 
== Professional Development Day ==
 
== Professional Development Day ==
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*[https://drive.google.com/file/d/1VIgbj_5x4od6veneIigkf8PCFfJgcOh_/view?usp=sharing 2022 BDSI Professional Development Day Program]
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*[https://drive.google.com/file/d/1_lkTbX2oMGhaunYV-TYSABYx36mrCTPw/view?usp=sharing Biostatistics Admissions Panel]
 +
*[https://docs.google.com/presentation/d/1dijiZhdfoFsh8-UqMKRoLRZ78hY3BQ_i/edit?usp=sharing&ouid=112329502399458344806&rtpof=true&sd=true Dr. Bhramar Mukherjee's Journey Lecture]

Latest revision as of 17:15, 4 August 2022

Contents

2022 Lectures

Week 1

Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee

Cluster Computing - Dan Barker

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

Prediction Analysis - Dr. Phil Boonstra

Correlated Data Review - Irena Chen

Unsupervised Learning and Clustering - Dr. Somayeh Molaei

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

Data 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

Journey Lecture - Dr. Michael Boehnke

Week 5

Deep Learning - Dr. Jian Kang

Optimization - Dr. Jian Kang

Natural Language Processing - Dr. Karandeep Singh

Radiation Oncology - Dr. Arvind Rao

Clinical Trials - Dr. Kelley Kidwell

Electronic Health Records - Dr. Sachin Kheterpal

Precision Health for Diverse Populations - Dr. Jennifer Smith

Better, Not Just Bigger, Data Analytics - Dr. Brahmajee Nallamothu

Machine Learning in Policy - Dr. Rahul Ladhania

Journey Lecture - Dr. Snigdha Panigrahi

Week 6

Preparing for Graduate School - Dr. Kelley Kidwell

Bayesian Precision Health - Dr. Veera Baladandayuthapani

Microaggressions Workshop - Dr. Yatesha Robinson

CVs and Resumes Workshop - Krystle Forbes

Research Symposium

Research Group Presentations

Research Group Posters

Genomics

Data Mining

Infectious Disease

Machine Learning

Professional Development Day