causal_confounding: Confounder Data
In quartets: Datasets to Help Teach Statistics
causal_confounding R Documentation
Confounder Data
Description
This dataset contains 100 observations, generated under the following mechanism:
Z ~ N(0, 1) (measured factor: confounder)
X ~ Z + N(0,1) (exposure)
Y ~ 0.5X + Z + N(0, 1) (outcome)
Usage
causal_confounding
Format
A dataframe with 100 rows and 3:
-
covariate: a known factor (confounder)
-
exposure: exposure
-
outcome: outcome
References
D'Agostino McGowan L, Barrett M (2023). Causal inference is not a statistical problem. Preprint arXiv:2304.02683v1.
quartets documentation built on April 14, 2023, 12:25 a.m.
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| causal_confounding | R Documentation |
Confounder Data
Description
This dataset contains 100 observations, generated under the following mechanism: Z ~ N(0, 1) (measured factor: confounder) X ~ Z + N(0,1) (exposure) Y ~ 0.5X + Z + N(0, 1) (outcome)
Usage
causal_confounding
Format
A dataframe with 100 rows and 3:
-
covariate: a known factor (confounder) -
exposure: exposure -
outcome: outcome
References
D'Agostino McGowan L, Barrett M (2023). Causal inference is not a statistical problem. Preprint arXiv:2304.02683v1.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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