【2024春】Causal inference

任课教师 Speaker:Per Johansson
时间 Time:Mon.-Fri., 10:00 am-12:00, 13:00-15:00, June 24-July 12, 2024 (excluding Fri., 13:00-15:00)
地点 Venue:Classroom C654, Tsinghua University Shuangqing Complex Building A
文章类型:

Learning outcomes:

A student who has taken this course will:

show an in-depth knowledge of the potential outcomes framework for causal inference,

show an in-depth understanding of assumptions underlying causal analyses with experimental and observational data,

master theory presented for estimation of causal parameters in randomized experiments and observational studies,

master the application of parametric and non/semiparametric estimators of causal effects presented in the course,

be able to perform sensitivity analyses on estimates of a causal effect.


Content:

Potential outcomes, theory and assumptions

Fisher's exact test, Neymans approach to completely randomized experiments and model based (Bayesian) inference

Causal effect estimators, propensity score - model building, stratification, matching and weighing

Variance estimation

Instrumental variables


Instruction:

Instruction is given in the form of in-class lectures. Computer exercises/assignments will be distributed. Solutions are to be presented by students and discussed in the class (Discuss).


Book: 

Imbens Guido W. and Donald B. Rubin (IR), Causal inference in statistics, social, and biomedical sciences, Cambridge University Press.


Preliminary schedule:

Monday            24/6   10-12 Introduction         13-15 Chapter 3 IR

Tuesday            25/6   10-12 Chapter 4 IR         13-15 Chapter 5 IR

Wednesday      26/6   10-12 Chapter 6 IR         13-15 Chapter 7 IR

Thursday          27/6   10-12 Chapter 8 IR         13-15 Chapter 9 IR

Friday               28/6   10-12  Discuss


Monday           1/7     10-12 Chapter 11 IR        13-15 Chapter 12 IR

Tuesday           2/7     10-12 Chapter 13 IR        13-15 Chapter 14 IR

Wednesday     3/7     10-12 Chapter 15 IR        13-15 Chapter 16 IR

Thursday         4/7     10-12 Chapter 17 IR        13-15 Chapter 18 IR

Friday              5/7     10-12 Discuss


Monday          8/7     10-12 Chapter 19 IR        13-15 Chapter 20 IR

Tuesday          9/7     10-12 Chapter 21 IR        13-15 Chapter 22 IR

Wednesday    10/7   10-12 Discuss                  13-15 Chapter 23 IR

Thursday        11/7   10-12 Chapter 24 IR        13-15 Chapter 25 IR

Friday             12/7   10-12 Discuss


清华大学双清综合楼A座地址:北京市海淀区逸清南路西延6号院1号