Causal Effect of Donor Source on Survival of Renal Transplantation Using Marginal Structural Models
Background: Marginal Structural Models (MSMs) are novel methods to estimate causal effect in epidemiology by using Inverse Probability of Treatment Weighting (IPTW) and Stabilized Weight to reduce confounding effects. This study aimed to estimate causal effect of donor source on renal transplantati...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Tehran University of Medical Sciences
2018-05-01
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Series: | Iranian Journal of Public Health |
Subjects: | |
Online Access: | https://ijph.tums.ac.ir/index.php/ijph/article/view/13353 |