4
votes
Accepted
RWE: use of target trial emulation framework: why aiming to emulate RCT?
The whole idea of emulating an RCT is because they are generally considered the gold standard for causal inference. (Yes, there is the conversation about meta-analysis of RCTs too, but let's not go ...
- 46k
2
votes
Accepted
IV Estimation, Direct and Indirect Effects
Let $Y$ and $X$ represent the outcome and exposure variables, respectively, with the true data-generating process described by:
$$
\begin{aligned}
Y &= \alpha + \beta X + \gamma Z + \epsilon, \\
X ...
- 3,071
1
vote
How to find a de-biased estimator with a ML component in my contaminated data problem?
Under your stated assumption, your parameter is non-identifiable
You have said that the values of $y_i$ are not sampled using the proportion $\theta$ that is the subject of your inference. The ...
- 133k
1
vote
Outcome Level vs. Treatment Level vs. Fixed-Effects Level in Difference-in-Differences
One of my models tries to understand the impact of the opening of a public facility (treatment is municipal-level) on also municipal-level outcomes. I am worried about time-varying cofounders like ...
- 6,454
1
vote
How to find causal inference when one subgroup of population, all are treated?
I believe you’re referring to the Conditional Average Treatment Effect (CATE) rather than the Individualized Treatment Effect (ITE). The former computes the effect at the level of strata or ...
- 3,071
1
vote
Accepted
OLS estimator and conditional variance weighting
Supppose we have a stratified RCT where $S_k$ denotes one of three strata. We're interested in the causal effect of treatment, $T$, on the outcome $Y$.
Using potential outcomes notation, define $Y_i(1)...
- 1,806
Only top scored, non community-wiki answers of a minimum length are eligible