Longitudinal causal effect of modified creatinine index on all-cause mortality in patients with end-stage renal disease: Accounting for time-varying confounders using G-estimation.
<h4>Background</h4>Standard regression modeling may cause biased effect estimates in the presence of time-varying confounders affected by prior exposure. This study aimed to quantify the relationship between declining in modified creatinine index (MCI), as a surrogate marker of lean body...
Main Authors: | Mohammad Aryaie, Hamid Sharifi, Azadeh Saber, Farzaneh Salehi, Mahyar Etminan, Maryam Nazemipour, Mohammad Ali Mansournia |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
|
Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0272212 |
Similar Items
-
Effect of alcohol consumption on breast cancer: probabilistic bias analysis for adjustment of exposure misclassification bias and confounders
by: Reza Pakzad, et al.
Published: (2023-07-01) -
Handling time varying confounding in observational research.
by: Mansournia, M, et al.
Published: (2017) -
A note on handling conditional missing values
by: Mohammad Ali Mansournia, et al.
Published: (2024-12-01) -
P-value, compatibility, and S-value
by: Mohammad Ali Mansournia, et al.
Published: (2022-12-01) -
A practical guide to handling competing events in etiologic time-to-event studies
by: Mohammad Ali Mansournia, et al.
Published: (2022-12-01)