Linked Questions

1
vote
1answer
607 views

How to find Causality in data? [duplicate]

I am a statistical newbie. I recently started doing some text analysis in my text columns to find if a usage of specific word is causing my score to be high or low score. Previously I was finding the ...
1
vote
1answer
148 views

How to establish and prove causality between two variables? [duplicate]

I want to establish causality between two variables/attributes of some time series data. Is there any method to prove and establish the causality mathematically?
85
votes
16answers
56k views

Under what conditions does correlation imply causation?

We all know the mantra "correlation does not imply causation" which is drummed into all first year statistics students. There are some nice examples here to illustrate the idea. But sometimes ...
77
votes
7answers
15k views

The Book of Why by Judea Pearl: Why is he bashing statistics?

I am reading The Book of Why by Judea Pearl, and it is getting under my skin1. Specifically, it appears to me that he is unconditionally bashing "classical" statistics by putting up a straw man ...
12
votes
6answers
35k views

Acceptable r-square value for multiple linear regression model [duplicate]

I'm currently working on my thesis, more specifically I'm analyzing some data collected from researchers about the project's they're working on. In the end, I have performed a multiple linear ...
4
votes
2answers
38k views

Difference between experimental data and observational data?

I'm a novice to data mining and started to read about it. What's the exact difference between experimental data and observation data? Both are obviously data; and many say observation data can lead to ...
14
votes
1answer
2k views

Which Theories of Causality Should I know?

Which theoretical approaches to causality should I know as an applied statistician/econometrician? I know the (a very little bit) Neyman–Rubin causal model (and Roy, Haavelmo etc.) Pearl's Work on ...
4
votes
3answers
1k views

Can causality be inferred in a study with an experience followed by two sets of measures

I came across this study as part of a mock exam paper and was confused to say the least. Context: The study investigates cognitive and behavioural factor related to the experience of anxiety in MRI ...
3
votes
2answers
1k views

Understanding the direction & strength of a correlation, & causal status, from a chi-squared test

I am analyzing Stack Overflow Posts. So I have a database with 1000000 questions, their current score (upvote or downvote) and a flag, that there is a source code part in the question (or not). So I ...
4
votes
3answers
213 views

Is causal inference only from data possible?

Suppose we are given a dataset but not the capability of performing some AB testing. We do some regression using X as predictor and Y as response and get a model. Can we actually say something about ...
2
votes
3answers
510 views

What assumptions are necessary to establish that a variable is confounding?

Suppose that an article claims that there is a cause-effect relationship between a certain explanatory variable A and a response variable B. If I were to test whether a confounding variable C exists ...
2
votes
1answer
463 views

Under what conditions does correlation imply proximity to causation?

I've recently had an experience with the whole "correlation does not imply causation", which is certainly true as far as a true/false proposition is concerned, but which also seems to be used too ...
0
votes
1answer
232 views

Causality of the regression [duplicate]

I have the same results for two regression 1) y= number of board directors in t+1 x= a dummy variable with 1 if there is at least an institutional investor among the shareholders in t. 2) y= a ...
0
votes
1answer
137 views

In the superpopulation framework of causal inference, what is the necessity of assuming the outcomes, treatment and covariates are jointly iid?

In the textbook "Causal Inference for Statistics" by Rubin and Imbens, the following argument is made on pg. 39: "In part of this text we view our sample of size N as a random sample from an ...
1
vote
3answers
106 views

How should I design an experiment to figure out causal relationship between smoking and drinking?

I am recently learning causal inference, and asked two questions without any answer. So I decide to ask the question differently from high level. We know smoking and drinking are correlated, a person ...

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