Literature DB >> 24488514

Invited commentary: Some advantages of the relative excess risk due to interaction (RERI)--towards better estimators of additive interaction.

Tyler J VanderWeele, Stijn Vansteelandt.   

Abstract

In the accompanying commentary, Rose and van der Laan (Am J Epidemiol. 2014;179(6):663-669) criticize the relative excess risk due to interaction (RERI) measure, the use of additive interaction, and the weighting approach we developed to assess RERI with case-control data. In this commentary, we note some of the advantages of using additive measures of interaction, such as RERI, in making decisions about targeting interventions toward certain subgroups and in assessing mechanistic interaction. We discuss the relationship between Rose and van der Laan's estimator for case-control data and the one we had previously proposed. We also develop a new doubly robust estimator for determining the RERI with case-control data when the prevalence or incidence of the outcome is known.

Entities:  

Keywords:  additive interaction; case-control studies; doubly robust estimator; subgroup analysis; synergism

Mesh:

Year:  2014        PMID: 24488514      PMCID: PMC3939844          DOI: 10.1093/aje/kwt316

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  12 in total

1.  Confidence interval estimation of interaction.

Authors:  D W Hosmer; S Lemeshow
Journal:  Epidemiology       Date:  1992-09       Impact factor: 4.822

2.  Recommendations for presenting analyses of effect modification and interaction.

Authors:  Mirjam J Knol; Tyler J VanderWeele
Journal:  Int J Epidemiol       Date:  2012-01-09       Impact factor: 7.196

3.  Sufficient cause interactions and statistical interactions.

Authors:  Tyler J VanderWeele
Journal:  Epidemiology       Date:  2009-01       Impact factor: 4.822

4.  Marginal structural models for sufficient cause interactions.

Authors:  Tyler J Vanderweele; Stijn Vansteelandt; James M Robins
Journal:  Am J Epidemiol       Date:  2010-01-11       Impact factor: 4.897

5.  What do case-control studies estimate? Survey of methods and assumptions in published case-control research.

Authors:  Mirjam J Knol; Jan P Vandenbroucke; Pippa Scott; Matthias Egger
Journal:  Am J Epidemiol       Date:  2008-09-15       Impact factor: 4.897

6.  Causes.

Authors:  K J Rothman
Journal:  Am J Epidemiol       Date:  1976-12       Impact factor: 4.897

7.  Epistatic interactions.

Authors:  Tyler J VanderWeele
Journal:  Stat Appl Genet Mol Biol       Date:  2010-01-06

8.  A double robust approach to causal effects in case-control studies.

Authors:  Sherri Rose; Mark van der Laan
Journal:  Am J Epidemiol       Date:  2014-01-31       Impact factor: 4.897

9.  Concepts of interaction.

Authors:  K J Rothman; S Greenland; A M Walker
Journal:  Am J Epidemiol       Date:  1980-10       Impact factor: 4.897

10.  Semiparametric tests for sufficient cause interaction.

Authors:  Stijn Vansteelandt; Tyler J VanderWeele; James M Robins
Journal:  J R Stat Soc Series B Stat Methodol       Date:  2012-03       Impact factor: 4.488

View more
  8 in total

1.  Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction".

Authors:  Sherri Rose; Mark van der Laan
Journal:  Am J Epidemiol       Date:  2014-01-31       Impact factor: 4.897

2.  Doubly Robust Additive Hazards Models to Estimate Effects of a Continuous Exposure on Survival.

Authors:  Yan Wang; Mihye Lee; Pengfei Liu; Liuhua Shi; Zhi Yu; Yara Abu Awad; Antonella Zanobetti; Joel D Schwartz
Journal:  Epidemiology       Date:  2017-11       Impact factor: 4.822

3.  Receipt of Guideline-Concordant Care Does Not Explain Breast Cancer Mortality Disparities by Race in Metropolitan Atlanta.

Authors:  Lindsay J Collin; Ming Yan; Renjian Jiang; Keerthi Gogineni; Preeti Subhedar; Kevin C Ward; Jeffrey M Switchenko; Joseph Lipscomb; Jasmine Miller-Kleinhenz; Mylin A Torres; Jolinta Lin; Lauren E McCullough
Journal:  J Natl Compr Canc Netw       Date:  2021-08-16       Impact factor: 11.908

4.  Transition of Metabolic Phenotypes and Risk of Atrial Fibrillation According to BMI: Kailuan Study.

Authors:  Maoxiang Zhao; Wenjuan Du; Qianqian Zhao; Yating Chen; Bin Li; Zhonghui Xie; Zihao Fu; Nan Zhang; Xiaowei Cheng; Xiaoqian Li; Siyu Yao; Miao Wang; Chi Wang; Shouling Wu; Hao Xue; Yang Li
Journal:  Front Cardiovasc Med       Date:  2022-06-28

5.  Association of Religious Service Attendance With Mortality Among Women.

Authors:  Shanshan Li; Meir J Stampfer; David R Williams; Tyler J VanderWeele
Journal:  JAMA Intern Med       Date:  2016-06-01       Impact factor: 21.873

6.  Examining the effects of low back pain and mental health symptoms on healthcare utilisation and costs: a protocol for a population-based cohort study.

Authors:  Jessica J Wong; Pierre Côté; Andrea C Tricco; Laura C Rosella
Journal:  BMJ Open       Date:  2019-09-27       Impact factor: 2.692

7.  Polygenic scores, diet quality, and type 2 diabetes risk: An observational study among 35,759 adults from 3 US cohorts.

Authors:  Jordi Merino; Marta Guasch-Ferré; Jun Li; Wonil Chung; Yang Hu; Baoshan Ma; Yanping Li; Jae H Kang; Peter Kraft; Liming Liang; Qi Sun; Paul W Franks; JoAnn E Manson; Walter C Willet; Jose C Florez; Frank B Hu
Journal:  PLoS Med       Date:  2022-04-26       Impact factor: 11.613

8.  Application of the "syndemics" theory to explain unprotected sex and transactional sex: A crosssectional study in men who have sex with men (MSM), transgender women, and non-MSM in Colombia.

Authors:  Beatriz Alvarado; Hector Fabio Mueses; Jaime Galindo; Jorge Luis Martínez-Cajas
Journal:  Biomedica       Date:  2020-06-15       Impact factor: 0.935

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.