Differential effects

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Short description: Branch of statistics concerned with inferring treatment effects

Differential effects play a special role in certain observational studies in which treatments are not assigned to subjects at random, where differing outcomes may reflect biased assignments rather than effects caused by the treatments.

Definition

For two treatments, differential effects is the effect of applying one treatment in lieu of the other.[1] Differential effects are not immune to differential biases, whose possible consequences are examined by sensitivity analysis.

Methods

In statistics and data science, causality is often tested via regression analysis. Several methods can be used to distinguish actual differential effects from spurious correlations. First, the balancing score (namely propensity score) matching method can be implemented for controlling the covariate balance.[2] Second, the difference-in-differences (DID) method with a parallel trend assumption (2 groups would show a parallel trend if neither of them experienced the treatment effect) is a useful method to reduce the impact of extraneous factors and selection bias.[3] The differential effect of treatments (DET) was explored using several examples and models.

In the biomedicine area, differential effects of early hippocampal pathology[4] were investigated on episodic and semantic memory. The differential effects of apolipoproteins E3 and E4 were also examined on neuronal growth in vitro.[5]

See also

References

  1. "Differential effects and generic biases in observational studies". Biometrika 93 (3): 573–586. 2006-09-01. doi:10.1093/biomet/93.3.573. ISSN 1464-3510. 
  2. "Causal Effect of Honorary Titles on Physicians' Service Volumes in Online Health Communities: Retrospective Study" (in EN). Journal of Medical Internet Research 22 (7): e18527. July 2020. doi:10.2196/18527. PMID 32673232. 
  3. "Identification of the Differential Effect of City-Level on the Gini Coefficient of Health Service Delivery in Online Health Community". International Journal of Environmental Research and Public Health 16 (13): 2314. June 2019. doi:10.3390/ijerph16132314. PMID 31261952. 
  4. "Differential effects of early hippocampal pathology on episodic and semantic memory". Science 277 (5324): 376–380. July 1997. doi:10.1126/science.277.5324.376. PMID 9219696. 
  5. "Differential effects of apolipoproteins E3 and E4 on neuronal growth in vitro". Science 264 (5160): 850–852. May 1994. doi:10.1126/science.8171342. PMID 8171342. Bibcode1994Sci...264..850N.