Literature DB >> 16119429

Calculating measures of biological interaction.

Tomas Andersson1, Lars Alfredsson, Henrik Källberg, Slobodan Zdravkovic, Anders Ahlbom.   

Abstract

An editorial in this issue explains that the degree of biological interaction between risk factors is measured as the deviation from additivity by the corresponding disease rates and not for example as deviation from multiplicativity. It is the purpose of this article to describe how a logistic regression model, or a Cox regression model, can be defined in order to produce the output that is needed for assessment of biological interaction. We will also demonstrate how common software can be programmed to deliver this output. Finally, we show how this output can be used as input in an Excel sheet that is set up to calculate the measures of biological interaction to be used for the assessment.

Mesh：

Year:  2005        PMID： 16119429     DOI： 10.1007/s10654-005-7835-x

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


  6 in total

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

2.  Interaction: A word with two meanings creates confusion.

Authors:  Anders Ahlbom; Lars Alfredsson
Journal:  Eur J Epidemiol       Date:  2005       Impact factor: 8.082

3.  How to evaluate interaction between causes: a review of practices in cardiovascular epidemiology.

Authors:  J Hallqvist; A Ahlbom; F Diderichsen; C Reuterwall
Journal:  J Intern Med       Date:  1996-05       Impact factor: 8.989

4.  Confidence intervals for measures of interaction.

Authors:  S F Assmann; D W Hosmer; S Lemeshow; K A Mundt
Journal:  Epidemiology       Date:  1996-05       Impact factor: 4.822

5.  A SAS program calculating three measures of interaction with confidence intervals.

Authors:  M Lundberg; P Fredlund; J Hallqvist; F Diderichsen
Journal:  Epidemiology       Date:  1996-11       Impact factor: 4.822

6.  A gene-environment interaction between smoking and shared epitope genes in HLA-DR provides a high risk of seropositive rheumatoid arthritis.

Authors:  Leonid Padyukov; Camilla Silva; Patrik Stolt; Lars Alfredsson; Lars Klareskog
Journal:  Arthritis Rheum       Date:  2004-10
  6 in total
  490 in total

1.  GEIRA: gene-environment and gene-gene interaction research application.

Authors:  Bo Ding; Henrik Källberg; Lars Klareskog; Leonid Padyukov; Lars Alfredsson
Journal:  Eur J Epidemiol       Date:  2011-04-26       Impact factor: 8.082

2.  Association between parental hospital-treated infection and the risk of schizophrenia in adolescence and early adulthood.

Authors:  Philip R Nielsen; Thomas M Laursen; Preben B Mortensen
Journal:  Schizophr Bull       Date:  2011-10-20       Impact factor: 9.306

3.  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

4.  Effects of FOXO genotypes on longevity: a biodemographic analysis.

Authors:  Yi Zeng; Lingguo Cheng; Huashuai Chen; Huiqing Cao; Elizabeth R Hauser; Yuzhi Liu; Zhenyu Xiao; Qihua Tan; Xiao-Li Tian; James W Vaupel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2010-09-30       Impact factor: 6.053

5.  Gene-environment interaction influences the reactivity of autoantibodies to citrullinated antigens in rheumatoid arthritis.

Authors:  Diane van der Woude; Wendimagegn Ghidey Alemayehu; Willem Verduijn; René R P de Vries; Jeanine J Houwing-Duistermaat; Tom W J Huizinga; René E M Toes
Journal:  Nat Genet       Date:  2010-10       Impact factor: 38.330

6.  Associations of cigarette smoking with rheumatoid arthritis in African Americans.

Authors:  Ted R Mikuls; Harlan Sayles; Fang Yu; Tricia Levan; Karen A Gould; Geoffrey M Thiele; Doyt L Conn; Beth L Jonas; Leigh F Callahan; Edwin Smith; Richard Brasington; Larry W Moreland; Richard J Reynolds; S Louis Bridges
Journal:  Arthritis Rheum       Date:  2010-12

7.  The risk of Barrett's esophagus associated with abdominal obesity in males and females.

Authors:  Bradley J Kendall; Graeme A Macdonald; Nicholas K Hayward; Johannes B Prins; Suzanne O'Brien; David C Whiteman
Journal:  Int J Cancer       Date:  2012-10-30       Impact factor: 7.396

8.  Variability in the CIITA gene interacts with HLA in multiple sclerosis.

Authors:  A Gyllenberg; F Piehl; L Alfredsson; J Hillert; I L Bomfim; L Padyukov; M Orho-Melander; E Lindholm; M Landin-Olsson; Å Lernmark; T Olsson; I Kockum
Journal:  Genes Immun       Date:  2014-01-16       Impact factor: 2.676

9.  Gender differences in psychosocial work factors, work-personal life interface, and well-being among Swedish managers and non-managers.

Authors:  Anna Nyberg; Constanze Leineweber; Linda Magnusson Hanson
Journal:  Int Arch Occup Environ Health       Date:  2015-03-12       Impact factor: 3.015

10.  Diabetes, depressive symptoms, and functional disability in African Americans: the Jackson Heart Study.

Authors:  Rita Rastogi Kalyani; Nan Ji; Mercedes Carnethon; Alain G Bertoni; Elizabeth Selvin; Edward W Gregg; Mario Sims; Sherita Hill Golden
Journal:  J Diabetes Complications       Date:  2017-03-09       Impact factor: 2.852
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