Comments (3)
from dowhy.
thanks for the clarification.
from dowhy.
I have a similar question:
estimates = model.estimate_effect(estimands, method_name = "backdoor.linear_regression")
print(estimate)
Output:
linear_regression
{'control_value': 0, 'treatment_value': 1, 'test_significance': None, 'evaluate_effect_strength': False, 'confidence_intervals': False, 'target_units': 'ate', 'effect_modifiers': []}
*** Causal Estimate ***
Identified estimand
Estimand type: nonparametric-ate
Estimand : 1
Estimand name: backdoor
Estimand expression:
d
─────────────────(E[Target])
d[X₁ X₂ X₃ X₄]
Estimand assumption 1, Unconfoundedness: If U→{X1,X2,X3,X4} and U→Target then P(Target|X1,X2,X3,X4,,U) = P(Target|X1,X2,X3,X4,)
Realized estimand
b: Target~X1+X2+X3+X4
Target units: ate
Estimate
Mean value: 7.982444233679164
What is Mean value: 7.982444233679164?
from dowhy.
Related Issues (20)
- Refutation & Overlap Error ("data_subset_refuter", "add_unobserved_common_cause", assess_support_and_overlap_overrule) HOT 2
- No Backdoor Path Available
- Clarification on how to use gcm properly for confounders adjustment HOT 5
- Can you provide code demo for each function? HOT 2
- How is propensity score matching implemented? HOT 2
- Interpreting mean while using logistic regression to estimate causal effect. HOT 1
- model.estimate_effect and model.refute_astimate throws 'A column-vector y was passed ...' error
- RuntimeWarning: divide by zero encountered in divide when using evaluate_causal_model HOT 5
- Auto assign_causal_mechanisms is taking so much time in gcm HOT 12
- falsify_graph HOT 8
- Remove use of CausalModel from test files and notebooks
- Is there a way to work with a structural causal model where nodes have multiple values? For use in root cause analysis. HOT 8
- graph should be directed acyclic HOT 4
- dowhy replication issue and output discrepancy with statsmodels HOT 2
- how to show summary stats (R squared, p value, F stat) from causal estimate HOT 3
- dowhy 0.11.1 dependences looks not being loaded HOT 2
- Creating CausalModel with frontdoor variables HOT 2
- Sensitiviy Analysis for Binary Outcome HOT 2
- 'squared' is deprecated error while running evaluate_causal_model HOT 2
- Consistently different values for estimated effect?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from dowhy.