Causal Flows | Ken Acquah | Substack

Given high-dimensional data describing differences in characteristics between individuals, what state-of-the-art ML technique is best suited for estimating differences in causal effects?

Jul 30, 2020

New Top Community

I've recently updated my site to to allow readers to more easily access to my blog posts on introductory causal inference.

Jul 6, 2020

Oftentimes, analysts are interested how a particular intervention differentially affects an observed population. How can we estimate the extent of…

Jul 5, 2020

What are some of the challenges an analyst must be wary of when using propensity score matching for causal inference tasks?

Jun 29, 2020

How do we "control" for a large number of confounding variables when analyzing causal effects in an observational setting, and have very little control…

Jun 21, 2020

Why is causal inference so hard? What "adjustments" can we make to observational data in order to make it easier?

Jun 14, 2020

How can we estimate average treatment effects and what biases must we be wary of when evaluating our estimation?

Jun 10, 2020

Is there a way we describe the extent of causal relationships, in order to more wholly characterize quantifiable effects?

Jun 5, 2020

Causal Flows

About Archive Sitemap

#nojs-banner { position: fixed; bottom: 0; left: 0; padding: 16px 16px 16px 32px; width: 100%; box-sizing: border-box; background: red; color: white; font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"; font-size: 13px; line-height: 13px; } #nojs-banner a { color: inherit; text-decoration: underline; } This site requires JavaScript to run correctly. Please turn on JavaScript or unblock scripts