Literature DB >> 35900266

Commentary: Modelling change in a causal framework.

M Maria Glymour1.   

Abstract

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Year:  2022        PMID： 35900266      PMCID： PMC9558068          DOI： 10.1093/ije/dyac151

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN： 0300-5771            Impact factor:   9.685


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  5 in total

1.  Use it or lose it: engaged lifestyle as a buffer of cognitive decline in aging?

Authors:  D F Hultsch; C Hertzog; B J Small; R A Dixon
Journal:  Psychol Aging       Date:  1999-06

2.  When is baseline adjustment useful in analyses of change? An example with education and cognitive change.

Authors:  M Maria Glymour; Jennifer Weuve; Lisa F Berkman; Ichiro Kawachi; James M Robins
Journal:  Am J Epidemiol       Date:  2005-06-29       Impact factor: 4.897

3.  Random-effects models for longitudinal data.

Authors:  N M Laird; J H Ware
Journal:  Biometrics       Date:  1982-12       Impact factor: 2.571

4.  Racial Capitalism Within Public Health-How Occupational Settings Drive COVID-19 Disparities.

Authors:  Elizabeth S McClure; Pavithra Vasudevan; Zinzi Bailey; Snehal Patel; Whitney R Robinson
Journal:  Am J Epidemiol       Date:  2020-11-02       Impact factor: 4.897

5.  Analyses of 'change scores' do not estimate causal effects in observational data.

Authors:  Peter W G Tennant; Kellyn F Arnold; George T H Ellison; Mark S Gilthorpe
Journal:  Int J Epidemiol       Date:  2022-10-13       Impact factor: 9.685
  5 in total

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