Causal Flows

Causal Flows

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Getting In To A Causal Flow
What is causal inference? Why is it useful? How can you use to amplify your decision-making capabilities?
May 22, 2020 • 
Ken Acquah
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Causal Flows
Causal Flows
Getting In To A Causal Flow
Causal Tree Learning For Heterogeneous Treatment Effect Estimation
Given high-dimensional data describing differences in characteristics between individuals, what state-of-the-art ML technique is best suited for…
Jul 30, 2020 • 
Ken Acquah
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Causal Flows
Causal Flows
Causal Tree Learning For Heterogeneous Treatment Effect Estimation
Propensity Score Matching
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 • 
Ken Acquah
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Causal Flows
Causal Flows
Propensity Score Matching
Estimating Heterogeneous Treatment Effects
Oftentimes, analysts are interested how a particular intervention differentially affects an observed population. How can we estimate the extent of…
Jul 5, 2020 • 
Ken Acquah
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Causal Flows
Causal Flows
Estimating Heterogeneous Treatment Effects
Potential Outcomes Model
Is there a way we describe the extent of causal relationships, in order to more wholly characterize quantifiable effects?
Jun 5, 2020 • 
Ken Acquah
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Causal Flows
Causal Flows
Potential Outcomes Model
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Confounding Bias
Why is causal inference so hard? What "adjustments" can we make to observational data in order to make it easier?
Jun 14, 2020 • 
Ken Acquah
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Causal Flows
Causal Flows
Confounding Bias
An UX Update To The Causal Flows Website
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 • 
Ken Acquah
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Causal Flows
Causal Flows
An UX Update To The Causal Flows Website
Estimating Average Treatment Effects
How can we estimate average treatment effects and what biases must we be wary of when evaluating our estimation?
Jun 10, 2020 • 
Ken Acquah

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Causal Flows
Causal Flows
Estimating Average Treatment Effects
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Structural Causal Models
How do we represent causal relationships between the many interconnected processes which comprise our universe?
May 27, 2020 • 
Ken Acquah
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Causal Flows
Causal Flows
Structural Causal Models
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Propensity Score Matching: What Can Go Wrong?
What are some of the challenges an analyst must be wary of when using propensity score matching for causal inference tasks?
Jun 29, 2020 • 
Ken Acquah

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Causal Flows
Causal Flows
Propensity Score Matching: What Can Go Wrong?
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