G-computation might be used to control for confounding when estimating the population-level impact of interventions through outcome distribution curves

Maarten J. Bijlsma

doi:10.1016/j.jclinepi.2014.06.005

G-computation might be used to control for confounding when estimating the population-level impact of interventions through outcome distribution curves

^*Corresponding author for this work

Research output: Contribution to journal › Letter › Academic › peer-review

Original language	English
Pages (from-to)	1286-1286
Number of pages	1
Journal	Journal of Clinical Epidemiology
Volume	67
Issue number	11
DOIs	https://doi.org/10.1016/j.jclinepi.2014.06.005
Publication status	Published - Nov-2014

Keywords

PROBABILISTIC INDEX

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@article{93da945c45ff4597afd8ca2ba1d89b41,

title = "G-computation might be used to control for confounding when estimating the population-level impact of interventions through outcome distribution curves",

keywords = "PROBABILISTIC INDEX",

author = "Bijlsma, {Maarten J.}",

year = "2014",

month = nov,

doi = "10.1016/j.jclinepi.2014.06.005",

language = "English",

volume = "67",

pages = "1286--1286",

journal = "Journal of Clinical Epidemiology",

issn = "0895-4356",

publisher = "ELSEVIER SCIENCE INC",

number = "11",

}

TY - JOUR

T1 - G-computation might be used to control for confounding when estimating the population-level impact of interventions through outcome distribution curves

AU - Bijlsma, Maarten J.

PY - 2014/11

Y1 - 2014/11

KW - PROBABILISTIC INDEX

U2 - 10.1016/j.jclinepi.2014.06.005

DO - 10.1016/j.jclinepi.2014.06.005

M3 - Letter

SN - 0895-4356

VL - 67

SP - 1286

EP - 1286

JO - Journal of Clinical Epidemiology

JF - Journal of Clinical Epidemiology

IS - 11

ER -