Details:

Alternative Title:
Epidemiology
Publisher's site:
http://dx.doi.org/10.1097/EDE.0000000000000160
Personal Author:
Keil, Alexander P. ; Edwards, Jessie K. ; Richardson, David R. ; Naimi, Ashley I. ; Cole, Stephen R.
Keil, Alexander P. ; Edwards, Jessie K. ; Richardson, David R. ; Naimi, Ashley I. ; Cole, Stephen R. Less -
Description:
Background

The parametric g-formula can be used to estimate the effect of a policy, intervention, or treatment. Unlike standard regression approaches, the parametric g-formula can be used to adjust for time-varying confounders that are affected by prior exposures. To date, there are few published examples in which the method has been applied.

Methods

We provide a simple introduction to the parametric g-formula and illustrate its application in analysis of a small cohort study of bone marrow transplant patients in which the effect of treatment on mortality is subject to time-varying confounding.

Results

Standard regression adjustment yields a biased estimate of the effect of treatment on mortality relative to the estimate obtained by the g-formula.

Conclusions

The g-formula allows estimation of a relevant parameter for public health officials: the change in the hazard of mortality under a hypothetical intervention, such as reduction of exposure to a harmful agent or introduction of a beneficial new treatment. We present a simple approach to implement the parametric g-formula that is sufficiently general to allow easy adaptation to many settings of public health relevance.


Subject:
[+]
Adult
Algorithms
Article
Bone Marrow Transplantation
Cause Of Death
Confounding Factors (Epidemiology)
Epidemiologic Methods
Female
Graft Vs Host Disease
Humans
Male
Monte Carlo Method
Multicenter Studies As Topic
Probability

Source:
Epidemiology. 25(6):889-897.
Pubmed ID:
25140837
Pubmed Central ID:
PMC4310506
Document Type:
Journal Article
Funding:
R01 AI100654/AI/NIAID NIH HHS/United States ; R01 CA117841/CA/NCI NIH HHS/United States ; R01-AI100654/AI/NIAID NIH HHS/United States ; R01-CA117841/CA/NCI NIH HHS/United States ; T32 ES007018/ES/NIEHS NIH HHS/United States ; ... More +
R01 AI100654/AI/NIAID NIH HHS/United States ; R01 CA117841/CA/NCI NIH HHS/United States ; R01-AI100654/AI/NIAID NIH HHS/United States ; R01-CA117841/CA/NCI NIH HHS/United States ; T32 ES007018/ES/NIEHS NIH HHS/United States ; T42-OH008673-08/OH/NIOSH CDC HHS/United States Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:617f30526c90c8dad1c6c7508cc0cc6e1f5f763a98c965c4ea3cc9f8d77af6ca
File Type:

Supporting Files

• 	nihms654307f3b.gif	gif
  	nihms654307f3b.jpg	jpeg
  	nihms654307f3c.gif	gif
  	nihms654307f3c.jpg	jpeg
  	nihms654307f3d.gif	gif
  	nihms654307f3d.jpg	jpeg
  	nihms654307f4.gif	gif
  	nihms654307f4.jpg	jpeg
  	NIHMS654307-supplement-Electronic_appendix.pdf	pdf
  	nihms654307.nxml	txt
  	nihms654307f1.gif	gif
  	nihms654307f1.jpg	jpeg
  	nihms654307f2.gif	gif
  	nihms654307f2.jpg	jpeg
  	nihms654307f3a.gif	gif
  	nihms654307f3a.jpg	jpeg

More +