All assignments are due at 11:59 PM US Eastern time unless otherwise noted. This schedule may be updated as the semester progresses with all changes documented here (class announcements will be made prior to any potential changes).

Change Jan. 15: All HW and lab assignments pre-spring break have had due dates moved back one week to accommodate students who joined the course late due to drop/add (everyone will have the same amount of time on the assignments).

Change Feb. 10: Since we finished lectures early, the introduction to quantile regression has been moved to Feb. 11 and there will be a new lecture introducing time series data on Feb. 25.

Change Feb. 18: Lab abstract 2 and HW 3 due dates have been pushed back one week to Feb. 28 and Mar. 7, respectively. Lab 3 will now be assigned Mar. 21 and due Apr. 11.


Week Date Activity Material Due
00 Thu, Jan 9 Lecture Interpreting linear models
Fri, Jan 10 Lab No lab.
01 Tue, Jan 14 Lecture Interpreting linear models
Thu, Jan 16 Lecture Confidence intervals and p-values
Fri, Jan 17 Lab
02 Tue, Jan 21 Lecture Common statistical errors
Thu, Jan 23 Lecture Threats to validity
Fri, Jan 24 Lab
03 Tue, Jan 28 Lecture Gen. Linear Models
Thu, Jan 30 Lecture Gen. Linear Models
Fri, Jan 31 Lab HW 1: Interpreting Results
04 Tue, Feb 4 Lecture Mixed Models
Thu, Feb 6 Lecture Marginal Models
Fri, Feb 7 Lab Lab Abstract 1
05 Tue, Feb 11 Lecture Quantile Regression
Thu, Feb 13 Lecture Peer Review
Fri, Feb 14 Lab HW 2: Reproducibility
06 Tue, Feb 18 Lecture Missing Data
Thu, Feb 20 Lecture Missing Data
Fri, Feb 21 Lab
07 Tue, Feb 25 Lecture Time Series Data
Thu, Feb 27 Lecture Multivariate Outcomes
Fri, Feb 28 Lab Lab Abstract 2
08 Tue, Mar 4 Lecture Data Visualization
Thu, Mar 6 Lecture Communicating Statistics
Fri, Mar 7 Lab No lab. HW 3: Peer Review
09 Tue, Mar 11 Spring Break. No class.
Thu, Mar 13 Spring Break. No class.
Fri, Mar 14 Spring Break. No lab.
10 Tue, Mar 28 Workshop Case Study Intro
Thu, Mar 20 Lecture Categorical Data
Fri, Mar 21 Lab
11 Tue, Mar 25 Lecture Categorical Data
Thu, Mar 27 Lecture Spatially Correlated Data
Fri, Mar 28 Lab
12 Tue, Apr 1 Lecture Spatially Correlated Data
Thu, Apr 3 Workshop Case Study Work Day
Fri, Apr 4 Lab Case Study Initial Draft
13 Tue, Apr 8 Lecture Time-to-Event Data
Thu, Apr 10 Lecture Time-to-Event Data
Fri, Apr 11 Lab Lab Abstract 3<
14 Tue, Apr 15 Lecture Causal Methods
Thu, Apr 17 Lecture Causal Methods
Fri, Apr 18 Lab
15 Tue, Apr 22 Workshop Project Work Day Case Study Final Draft
16 Tue, Tue 29 Project Due at 5 PM Project due at 5 PM