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Comment
. 2019 Mar;109(3):e12-e13.
doi: 10.2105/AJPH.2018.304916.

Effect Modification and Collapsibility in Evaluations of Public Health Interventions

Miguel Angel Luque-Fernandez  1 , Daniel Redondo-Sanchez  1 , Michael Schomaker  1
Affiliations
Comment

Effect Modification and Collapsibility in Evaluations of Public Health Interventions

Miguel Angel Luque-Fernandez et al. Am J Public Health. 2019 Mar.
No abstract available

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Figures

FIGURE 1—
FIGURE 1—
Results of the Cancer Simulation Note. EM = effect modification. The graph represents a comparison of the mortality risk difference one year after cancer diagnosis among patients on dual therapy (radiotherapy and chemotherapy) versus patients on monotherapy (chemotherapy only). Known confounders are age, socioeconomic status, comorbidities, and clinical stage. The absolute bias with respect to the marginal causal odds ratio is reported on the basis of a sample size of 5000 and 10 000 simulation runs (see https://github.com/migariane/hetmor).
See this image and copyright information in PMC

Comment in

  • Spiegelman and Zhou Respond.
    Spiegelman D, Zhou X. Spiegelman D, et al. Am J Public Health. 2019 Mar;109(3):e13-e14. doi: 10.2105/AJPH.2018.304917. Am J Public Health. 2019. PMID: 30726133 Free PMC article. No abstract available.

Comment on

References

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