Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Quantifying and estimating additive measures of interaction from case-control data
Stockholm University, Faculty of Science, Department of Mathematics.
Show others and affiliations
Number of Authors: 6
2017 (English)In: Modern stochastics: theory and applications, ISSN 2351-6054, Vol. 4, no 2, 109-125 p.Article in journal (Refereed) Published
Abstract [en]

In this paper we develop a general framework for quantifying how binary risk factors jointly influence a binary outcome. Our key result is an additive expansion of odds ratios as a sum of marginal effects and interaction terms of varying order. These odds ratio expansions are used for estimating the excess odds ratio, attributable proportion and synergy index for a case-control dataset by means of maximum likelihood from a logistic regression model. The confidence intervals associated with these estimates of joint effects and interaction of risk factors rely on the delta method. Our methodology is illustrated with a large Nordic meta dataset for multiple sclerosis. It combines four studies, with a total of 6265 cases and 8401 controls. It has three risk factors (smoking and two genetic factors) and a number of other confounding variables.

Place, publisher, year, edition, pages
2017. Vol. 4, no 2, 109-125 p.
Keyword [en]
Additive odds model, attributable proportion, case-control data, expansion of odds ratios, interaction of risk factors, logistic regression
National Category
Mathematics Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:su:diva-148101DOI: 10.15559/17-VMSTA77ISI: 000411001100003OAI: oai:DiVA.org:su-148101DiVA: diva2:1150377
Available from: 2017-10-18 Created: 2017-10-18 Last updated: 2017-10-18Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Hössjer, Ola
By organisation
Department of Mathematics
MathematicsPublic Health, Global Health, Social Medicine and Epidemiology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf