Literature DB >> 30554761

Use of G-methods for handling time-varying confounding in observational research.

Amin Doosti-Irani1, Mohammad Ali Mansournia2, Gary Collins3.   

Abstract

Mesh:

Year:  2019        PMID: 30554761     DOI: 10.1016/S2214-109X(18)30471-6

Source DB:  PubMed          Journal:  Lancet Glob Health        ISSN: 2214-109X            Impact factor:   26.763


× No keyword cloud information.
  2 in total

1.  Current trends in the application of causal inference methods to pooled longitudinal non-randomised data: a protocol for a methodological systematic review.

Authors:  Edmund Yeboah; Nicole Sibilla Mauer; Heather Hufstedler; Sinclair Carr; Ellicott C Matthay; Lauren Maxwell; Sabahat Rahman; Thomas Debray; Valentijn M T de Jong; Harlan Campbell; Paul Gustafson; Thomas Jänisch; Till Bärnighausen
Journal:  BMJ Open       Date:  2021-11-12       Impact factor: 2.692

2.  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.

Authors:  Mohammad Aryaie; Hamid Sharifi; Azadeh Saber; Farzaneh Salehi; Mahyar Etminan; Maryam Nazemipour; Mohammad Ali Mansournia
Journal:  PLoS One       Date:  2022-08-19       Impact factor: 3.752

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.