# Questions tagged [causality]

The relationship between cause and effect.

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### Regression with bounded dependent variable

I'm using interrupted time series analysis to estimate the impact of an intervention in the same group. However, my target variable is a satisfaction index that goes from -1 to 1. How can I model a ...
1 vote
17 views

### PC algorithm in "Causation, Prediction, and Search"

In the page 120 in "Causation, Prediction, and Search", why the edge B-D will not be removed if the edge E-D is mistakenly removed from the initial complete graph. I think B-D is D-connected ...
1 vote
13 views

### Is There a Standard Metric for Evaluating Treatment Impact Considering Action Cost in Uplift Models?

I'm currently exploring Uplift modeling, specifically the use of the Conditional Average Treatment Effect (CATE) metric: $$\tau(t', t, x) := \mathbb{E}[Y | X=x, T=t'] - \mathbb{E}[Y | X=x, T=t]$$ ...
15 views

### Fuzzy or sharp RDD?

I am looking at the causal effect of a Danish retirement reform, where individuals born after 1954 have an increased normal retirement age. Therefore, the cutoff of the treatment is clear. However, ...
388 views

### For what reasons should regression models not adjust for variables comprising a composite score?

Medicine has many examples where some score is derived from other clinical measures. Examples include BMI (which is a function of weight and height) and MELD (which appears to be based on blood tests)...
12 views

### Popular Causal Inference Methods? [closed]

I want to be able to list/bucket different types of causal inference methods. Please correct me and place them in the appropriate bucket if the following isn't correct: Causal inference methods: A/B ...
305 views

### What is the stopping criterion for adding nodes to a causal DAG?

I'm currently involved in creating a causal DAG (Directed Acyclic Graph) to map causal relationships of a real industry problem. The more I think, the more ancestor nodes I add to the DAG which is ...
69 views

### Could classical astronomic discoveries be made using ML?

Imagine that prior to the time of Copernicus, scientists could run machine learning algorithms (somehow). Would it be possible to discover the truth of the geocentric model with their use? Would the ...
1 vote
29 views

### Is it possible to estimate effects using Bayesian modelling after matching?

I am following [Greifer 2023] to estimate the effect size after (genetic) matching, where I am using bootstrapping to estimate the confidence intervals. Since I have a hierarchical setup with ...
42 views

### How to report the effect of covariates in post-matching analysis?

I have conducted genetic matching using the MatchIt package in R with the ultimate aim to compare the effect of the transition to a new form of land management. I ...
273 views

### Why do we need a consistency assumption in causal inference?

Why do we need a consistency assumption in causal inference? I think the consistency assumption is quite obvious and it is more like a definition for the observed outcome.
35 views

### Inferring A given C and chain ABC

We have a claimed causal chain $A\to B\to C$. We know that $P(C) < 0.01$ and we know that $P(B|A) > 0.9$ and $P(C|B) > 0.9,$ how can we find $P(A)?$ We might lack information here but can we ...
1 vote
67 views

### Causal inference on time-series data: is intervention needed?

I'm working on the topic of causal inference, I use time-series data. I have two scenarios in front of me and I don't understand the difference: Given X and Y "time" features. I would like ...
13 views

### Conditional Average Treatment Effects: What is the logic underlying using the covariates to predict the residualized scores?

I've consulted a few references, including this online book, and I've got a good grasp on using double machine learning to estimate ATE after debiasing/denoising the treatment variable (T) and the ...
17 views

### Semi-parameteric estimation

I am interested in the effect of certain interventions $T$ on my value of interest $Y$, my model is, $$Y = \tau f(T, X, Z) + g(X, Z),$$ where $f(T, X, Z) = T \times X + T \times Z$ , that is all the ...
91 views

### The use of p-values in tests of d-separation

In his very helpful online book on structural equation modeling, Jon Lefcheck writes the following concerning d-separation tests for SEMs: Once the model is fit, statistical independence is assessed ...
60 views

### Is running P(T=1|Y,X) a recommended way to help diagnose the unconfoundedness assumption in causal inference?

I've always heard that there isn't a lot of ways to diagnose the assumption that you've found the correct set of confounders in causal inference in confounder-control studies, and the best we can do ...