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. Author manuscript; available in PMC: 2018 Aug 16.
Published in final edited form as: J Causal Inference. 2016 Nov 8;4(2):20160009. doi: 10.1515/jci-2016-0009

Table 1.

Uncorrelated confounders X and U: Omitted variable bias (OVB) and imbalance before and after adjusting for X*.

Initial OVB and Imbalance OVB and Imbalance after adjusting for X*
Omitted variable bias OVB(τ̂ | {}) = αXβX + αUβU
OVB(τ^X)=αUβU+αXβX(1-γ)1-αX2γ
Imbalance in U Imbalance(U | {}) = αU
Imbalance(UX)=αU1-αX2γ
Imbalance in X Imbalance(X|{}) = αX
Imbalance(XX)=αX(1-γ)1-αX2γ
Effect of conditioning on X* when …
biases are in the same direction biases offset each other
Absolute omitted variable bias Increase in OVB is most likely if
  1. the bias induced by the unobserved confounder U is much larger than the bias induced by confounder X or

  2. confounder X strongly affects Z.

If the bias induced by the unobserved confounder U exceeds half of the bias induced by X, OVB always increases (this case also includes almost perfectly offsetting biases). If the bias induced by the unobserved confounder U is less than half of the bias induced by X, OVB most likely increases if X strongly affects Z (provided X is reliably measured).
Absolute imbalance Imbalance in U always increases.
Imbalance in X always decreases.
Imbalance in U always increases.
Imbalance in X always decreases.
Effect of measurement error Attenuates any increase in OVB and attenuates any decrease in OVB. If the bias induced by the unobserved confounder U exceeds half of the bias induced by X, measurement error attenuates any increase in OVB. If the bias induced by the unobserved confounder U is less than half of the bias induced by X, measurement error attenuates any increase in OVB (and might even turn an increase into a decrease) but may attenuate or strengthen any decrease in OVB.