Statistics 156/256: Causal Inference

UC Berkeley, Fall 2024

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Welcome to Week 1 of Stat 156

Office hours on 8/29 will be in Evans 355 from 4-5 pm.

Syllabus

The syllabi are now available for 156 and 256.

Readings week 1

The reading for the first lecture is Chapter 1 of the textbook A first course in causal inference by Peng Ding. A preprint of the textbook is available on arXiv. The book is available in print here. Add promotion code JSM24 for additional discount (good thru end of September).

Readings week 2

The reading for the second lecture is Chapter 2 of A first course in causal inference.

The readings for the third lecture are

  1. Section 2.1 of the textbook Causal inference: what if by James M. Robins and Miguel A. Hernán. Available online.
  2. Chapter 3 of A first course in causal inference.
Readings week 3

The reading for the fourth lecture is Chapters 4-6 of A first course in causal inference.

The readings for the fifth lecture is Chapters 7-9 of A first course in causal inference.

Readings week 4

The reading for the 9/17 lecture is

  1. Chapter 3 of Causal inference: what if.
  2. Chapter 10 of A first course in causal inference.

The readings for the 9/19 lecture are

  1. Section 2.4 of Causal inference: what if.
  2. Chapters 11-12 of A first course in causal inference.
Homework 2 posted

Homework 2 for 156 is posted in the Homeworks tab.