Quantcast
Channel: structural equations – Causal Analysis in Theory and Practice
Browsing all 13 articles
Browse latest View live

An Open Letter from Judea Pearl to Nancy Cartwright concerning “Causal...

Dear Nancy, This letter concerns the issue of “causal plurality” which came up in my review of your book “Hunting Causes and Using Them” (Cambridge 2007) and in your recent reply to my review, both in...

View Article


Conrad (Ontario/Canada) on SEM in Epidemiology

Conrad writes: In the recent issue of IJE (http://aje.oxfordjournals.org/content/176/7/608), Tyler VanderWeele argues that SEM should be used in Epidemiology only when 1) the interest is on a wide...

View Article


Neyman-Rubin’s model and ASA Causality Prize

We received the following query from Megan Murphy (ASA): Dr. Pearl, I received the following question regarding the Causality in Statistics Education prize on twitter. I’m not sure how to answer this,...

View Article

On Structural Equations versus Causal Bayes Networks

We received the following query from Jim Grace, (USGS – National Wetlands Research Center) : Hi Judea, In your 2009 edition of Causality on pages 26-27 you explain your reasoning for now preferring to...

View Article

Image may be NSFW.
Clik here to view.

Flowers of the First Law of Causal Inference

Flower 1 — Seeing counterfactuals in graphs Some critics of structural equations models and their associated graphs have complained that those graphs depict only observable variables but: “You can’t...

View Article


Flowers of the First Law of Causal Inference (2)

Flower 2 — Conditioning on post-treatment variables In this 2nd flower of the First Law, I share with readers interesting relationships among various ways of extracting information from post-treatment...

View Article

Flowers of the First Law of Causal Inference (3)

Flower 3 — Generalizing experimental findings Continuing our examination of “the flowers of the First Law” (see previous flowers here and here) this posting looks at one of the most crucial questions...

View Article

David Freedman, Statistics, and Structural Equation Models

(Re-edited: 5/6/15, 4 pm) Michael A Lewis (Hunter College) sent us the following query: Dear Judea, I was reading a book by the late statistician David Freedman and in it he uses the term “response...

View Article


Causation without Manipulation

The second part of our latest post “David Freedman, Statistics, and Structural Equation Models” (May 6, 2015) has stimulated a lively email discussion among colleagues from several disciplines. In what...

View Article


Winter Greeting from the UCLA Causality Blog

Friends in causality research, This greeting from the UCLA Causality blog contains: A. An introduction to our newly published book, Causal Inference in Statistics – A Primer, Wiley 2016 (with M....

View Article

Recollections from the WCE conference at Stanford

On May 21, Kosuke Imai and I participated in a panel on Mediation, at the annual meeting of the West Coast Experiment Conference, organized by Stanford Graduate School of Business...

View Article

On the Classification and Subsumption of Causal Models

From Christos Dimitrakakis: >> To be honest, there is such a plethora of causal models, that it is not entirely clear what subsumes what, and which one is equivalent to what. Is there a simple...

View Article

The Three Layer Causal Hierarchy

Recent discussions concerning causal mediation gave me the impression that many researchers in the field are not familiar with the ramifications of the Causal Hierarchy, as articulated in Chapter 1 of...

View Article

Browsing all 13 articles
Browse latest View live