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M-Bias Data

Source: R/causal_m_bias.R
causal_m_bias.Rd

This dataset contains 100 observations, generated under the following mechanism: U1 ~ N(0, 1) U2 ~ N(0, 1) Z ~ 8 U1 + U2 + N(0, 1) (measured factor) X ~ U1 + N(0, 1) (exposure) Y ~ X + U2 + N(0, 1) (outcome)

Usage

causal_m_bias

Format

A dataframe with 100 rows and 5 variables:

  • u1: an unknown factor

  • u2: an unknown factor

  • covariate: a known factor

  • exposure: exposure

  • outcome: outcome

References

Lucy D’Agostino McGowan, Travis Gerke & Malcolm Barrett (2023) Causal inference is not just a statistics problem, Journal of Statistics and Data Science Education, DOI: 10.1080/26939169.2023.2276446