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Arch Iran Med. 2016;19(9):0-0.
PMID: 27631183
Scopus id: 84987629394
  Abstract View: 467
  PDF Download: 491

Research Methods

Standardization as a Tool for Causal Inference in Medical Research

Safoora Gharibzadeh, Kazem Mohammad, Abbas Rahimiforoushani, Atieh Amouzegar, Mohammad Ali Mansournia *

Abstract

Traditional standardization methods have been used in medical research for a long time to standardize the effect of interest for one confounder such as age. Model-based standardization extension of these methods is used when we have more than one variable produces an effect which is the population average and has marginal causal interpretation.

In this paper, we discuss the most traditional model-based standardization methods that are used to estimate the marginal causal effect of exposure. We applied these methods to data from Tehran Thyroid Study and estimated the standardized effect of exposure on outcome.
Based on the simulation studies, covariate standardization is preferred except when 1) we have enough information about the mechanism of exposure or 2) the outcome is rare and exposure is frequent, so propensity score standardization is suggested.
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First published online: 01 Sep 2016
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