Difference between revisions of "Main Page"

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===Week 1 ===
 
===Week 1 ===
 
[[Media:Al-Marzouki_s05.pdf|Al-Marzouki]] - The effect of scientific misconduct on the results of clinical trials: A Delphi survey<br>
 
[[Media: Baggerlycoombes.pdf|Baggerly Coombes]] - Deriving  Chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology<br>
 
[[Media: Benjaminisignificance.pdf|Benjamini]] - Redefine statistical significance<br>
 
[[Media: Ethicalguidelines.pdf|Ethical guidelines]] - Ethical Guidelines for Statistical Practice article<br>
 
[[Media: Ethics_review.ppt|Ethics reviews]] - Ethical statistical practice review slides<br>
 
[[Media: Moving_to_a_World_Beyond_p_0_05.pdf|Moving to a World beyond]] - Moving to a World Beyond “p < 0.05”<br>
 
  
 
====On Being A Scientist: Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee====
 
====On Being A Scientist: 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
 +
*[[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_scientist_2009.pdf|On Being A Scientist Article]]
 
*[[Media:On+Being+A+Scientist.pptx| Slides]]
 
*[[Media:On+Being+A+Scientist.pptx| Slides]]
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=== 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=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]
 
   -[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]
 
   -[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====
  
* Logistic Regression Review -- Elizabeth Chase
+
====Logistic Regression Review - Elizabeth Chase====
  
* Machine Learning -- Dr. Maggie Makar
+
====Machine Learning -- Dr. Maggie Makar====
  
* R Markdown -- Dr. Phil Boonstra
+
====R Markdown - Dr. Phil Boonstra====
  
* Prediction Analysis -- Dr. Phil Boonstra
+
====Prediction Analysis - Dr. Phil Boonstra====
  
* Correlated Data Models -- Irena Chen
+
====Correlated Data Models - Irena Chen=====
  
* Unsupervised Learning & Clustering -- Dr. Somayeh Molaei
+
====Unsupervised Learning & Clustering - Dr. Somayeh Molaei====
  
* Journey Lecture -- Dr. Jean Morrison
+
====Journey Lecture - Dr. Jean Morrison====

Revision as of 15:40, 13 July 2022

2022 Lectures

Week 1

On Being A Scientist: Responsible Conduct for Research in Science (RCRS) - Dr. Bhramar Mukherjee

Cluster Computing - Dan Barker

Study Design and Inference - Dr. Rodrick Little

Observational Data and 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