Week 5

Week 5 Schedule

Monday, July 17th

9:00am - 10:30am: Morning Lecture I (SPH I 1690)

Intro to Bayes: Part I Links to an external site. (William Wen, PhD) [Slides]

10:45am - 12:15pm: Morning Lecture II (SPH I 1690)

Intro to Bayes: Part II Links to an external site. (William Wen, PhD) [Slides]

12:15pm - 2:00pm: Lunch

2:00pm - 5:00pm: Research Groups

Tuesday, July 18th

9:00am - 10:30am: Morning Lecture I (SPH I 1690)

Model Selection: Part I Links to an external site. (Yichen Si, MS) [Slides]

10:45am - 12:15pm: Morning Lecture II (SPH I 1690)

Model Selection: Part II (Yichen Si, MS)

12:15pm - 2:00pm: Lunch

2:00pm - 5:00pm: Research Groups

Wednesday, July 19th

9:00am - 10:30am: Morning Lecture I (SPH I 1690)

Stroke Disparities Links to an external site. (Lynda Lisabeth, PhD) [Slides]

10:45am - 12:15pm: Morning Lecture II (SPH I 1690)

Evaluating and Governing Risk Prediction Models in a Health System Links to an external site. (Karandeep Singh, MD, MMSc) [Slides] [Google Slides Links to an external site.]

12:15pm - 2:00pm: Lunch

2:00pm - 5:00pm: Research Groups

6:00pm: Women in Statistics Night (SPH I 3755)

Thursday, July 20th

9:00am - 10:30am: Morning Lecture I (SPH I 1690)

Electronic Health Records Links to an external site. (Saching Kheterpal, MD) [Slides]

10:45am - 12:15pm: Morning Lecture II (SPH I 1690)

Spacial Statistics Links to an external site. (Maria Masotti, PhD) [Slides] [Code]

12:15pm - 2:00pm: Lunch

2:00pm - 5:00pm: Research Groups

Thursday July 20th - Saturday July 22nd: Ann Arbor Art Fair

Friday, July 21st

9:00am - 10:30am: Morning Lecture I (SPH I 1690)

Policy and Machine Learning Links to an external site. (Rahul Ladhania, PhD) [Slides]

10:45am - 12:15pm: Morning Lecture II (SPH I 1690)

Data Integration/PH Links to an external site. (Veera Baladandayuthapani, PhD) [Slides]

12:15pm - 2:00pm: State of the Institute [Slides] and Journey Lecture (Snigdha Panigrahi, PhD) [Slides]

2:00pm: Meet Outside SPH (Walk to Bus Stop Outside CVC)

3:00pm: Tour of the Big House