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Questions tagged [causality]

The relationship between cause and effect.

0 votes
0 answers
13 views

Is an explicit "treatment" variable a necessary condition for instrumental variable analysis?

I'm trying to model the causal impact of our marketing efforts on our ads business, and I'm considering an Instrumental Variable (IV) framework. I'd appreciate a sanity check on my approach and any ...
ibarbo's user avatar
  • 65
0 votes
0 answers
27 views
+50

Conceptual questions around marketing mix modeling (MMM) in the presence of omitted variables and missing not at random (MNAR) data

I need your help. Imagine a company is currently evaluating a vendor-provided MMM (Marketing Mix Modeling) solution that can be further calibrated (not used for MMM modeling validation) using ...
Ehsan's user avatar
  • 31
0 votes
0 answers
24 views

Sampling counterfactual posterior to mitigate error autocorrelation in event studies

I have question regarding event studies (pre-event data is observed, an event occurs at $t=e$, then following the treatment is assumed to be in-effect.) There are multiple approaches to event study ...
jbuddy_13's user avatar
  • 3,948
2 votes
0 answers
51 views

Variance of the average treatment effect using the unit-level variances of the potential outcomes

I'm reading Chapter 19 of Imbens and Rubin (2015), which is on the estimation of variance for estimators of treatment effects. They discuss using the variance of each sample/unit's potential outcomes ...
abadfr's user avatar
  • 105
10 votes
3 answers
542 views

Why is median treatment effect not estimable?

The recent paper Addanki and Bhandari (2024) claims the median treatment effect (MTE) cannot be estimated for treatment and control groups in an observational study. The authors illustrate with an ...
RobertF's user avatar
  • 6,604
5 votes
1 answer
383 views

Which DAG is implied by the (usual) linear regression assumptions?

To avoid the inevitable confusion, let me briefly state the assumptions in their common form: (Linear in parameters) In the population model, the dependent variable, $y$, is related to the ...
Durden's user avatar
  • 1,513
0 votes
0 answers
23 views

outcome-dependent selection bias and IPW

I'm having trouble understanding how inverse probability weighting (IPW) can be used to account for outcome-dependent selection when aiming to estimate the average causal effect of treatment. ...
Liz's user avatar
  • 1
17 votes
2 answers
4k views

Is the logic of the original smoking study valid?

Out of some curiosity and exercise of my understanding of statistics, I've looked up the original study which statistically proved the causal relationship between smoking and lung cancer. Although ...
Addem's user avatar
  • 681
1 vote
1 answer
60 views

Estimating Marginal Structural Models with the {WeightIt} Package [closed]

I am used to using the {ipw} R package for estimating marginal structural models. However, I am having problems implementing equivalent models using the {WeightIt} R package. To demonstrate my point ...
Brian Lookabaugh's user avatar
3 votes
0 answers
47 views

An incorrect causal MAG in a highly cited paper?

In this popular paper the causal DAG below is explored and the author presents the following MAG as the causal MAG corresponding to the above causal DAG. But.... there seems to be an inducing path ...
ColorStatistics's user avatar
0 votes
0 answers
51 views

Is controlling for the mediator the same as controlling for the confounder?

I understand that it is a convention for statisticians to control for mediators to observe the direct effects of an exposure. However, is it appropriate to do so? Let's look at an example below: In ...
anonymous's user avatar
  • 199
3 votes
1 answer
110 views

Showing that the OLS variance is the same as the variance of difference in means (average treatment effect)

Please bear with me as the preamble might be a bit long. I'm currently reading Imbens and Rubin's Causal Inference book, and unfortunately there's no freely avaiable online copy so below are some ...
abadfr's user avatar
  • 105
3 votes
1 answer
123 views

Should we include a covariate in a DAG/causal model if it is a necessary cause for an outcome?

I would like to construct a causal model of exposure X on the outcome "fertility". Then there comes a covariate called "sexual intercourse (SI) frequency". This covariate can be a ...
anonymous's user avatar
  • 199
12 votes
5 answers
2k views

Is body mass index (BMI) actually the interaction term for weight × height^-2?

The formula for body mass index = weight × height^-2. Suppose I want to study the effect of the weight of a parent (exposure) on the birth size of their child (outcome). We now understand that the ...
anonymous's user avatar
  • 199
1 vote
0 answers
39 views

Should one include prognostic variables in outcome regression estimator for ATE?

I am interested in knowing whether adding prognostic variables will improve the asymptotic variance of outcome regression estimator for ATE. I have long heard that I should include prognostic ...
Toterra's user avatar
  • 11

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