2 Schedule

Note: The timeline of topics and assignments might be updated throughout the semester.

week	date	topic	slides	appex	assignment	assessment
1	10 January	Welcome
1	12 January	Tech setup
2	17 January	MLK [No Class]
2	19 January	What is a causal question?
3	24 January	Assumptions in causal inference
3	26 January	Randomized Trials
4	31 January	Target trials
4	2 February	No Class (Weaver Fire)
5	7 February	Causal Diagrams
5	9 February	Lab 1: Creating DAGs
6	14 February	Associations through causal diagrams
6	14 February	Causal Assumptions Part 2
6	16 February	Law of Iterated Expectations
6	16 February	Causal Assumptions Part 3
7	21 February	Estimating the propensity score
7	23 February	Lab 2: Propensity score models in R
8	28 February	Causal estimands
8	28 February	Using the propensity score: weighting
8	2 March	Using the propensity score: matching
NA	7 March	Spring Break [No Class]
NA	9 March	Spring Break [No Class]
9	14 March	Review
9	16 March	Midterm Exam
10	21 March	Midterm Overview
10	23 March	Evaluating your propensity score model
11	28 March	Evaluating your propensity score model
11	28 March	Estimating average treatment effects
11	30 March	Lab 3: Using propensity scores
12	4 April	Outcome models Part 1
12	6 April	Outcome models Part 2
13	11 April	Missing data
13	13 April	Lab 4: Putting it all together
14	18 April	Sensitivity Analyses
14	20 April	Communicating causal effects
15	25 April	Final Presentations
15	27 April	Final Presentations